Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs | Paper Citation Record

Observation 74c590bd-8b83-4fa1-a86e-25663ae89d80 · outbound

This paper cites O-RAN White Paper: Towards an Open and Smart RAN,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs O-RAN White Paper: Towards an Open and Smart RAN,

Reference 1

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Observation cc6fbd61-0078-487f-8271-abfd7a3f61ee · outbound

This paper cites Under- standing O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Under- standing O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges,

Reference 2

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This paper cites RIC: A RAN Intelligent Controller Platform for AI-Enabled Cellular Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs RIC: A RAN Intelligent Controller Platform for AI-Enabled Cellular Networks,

Reference 3

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This paper cites Intelligent Control in 6G Open RAN: Security Risk or Opportunity?.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Intelligent Control in 6G Open RAN: Security Risk or Opportunity?

Reference 4

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This paper cites Slice- dRAN: Service-Aware Network Slicing Framework for 5G Radio Access Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Slice- dRAN: Service-Aware Network Slicing Framework for 5G Radio Access Networks,

Reference 5

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This paper cites Defining Intent-Based Service Management Automation for 6G Multi-Stakeholders Scenarios,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Defining Intent-Based Service Management Automation for 6G Multi-Stakeholders Scenarios,

Reference 6

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Observation 032d17be-fc35-40a2-a9b5-01fb742a3349 · outbound

This paper cites AI-RAN Alliance Vision and Mission White Paper,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs AI-RAN Alliance Vision and Mission White Paper,

Reference 7

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This paper cites AI-RAN: Transforming RAN with AI-driven Computing Infrastructure.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs AI-RAN: Transforming RAN with AI-driven Computing Infrastructure

Reference 8

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Observation 20a93c4a-2e7d-42bc-94ad-bc64ec505852 · outbound

This paper cites Toward 6G Security: Technology Trends, Threats, and Solutions,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Toward 6G Security: Technology Trends, Threats, and Solutions,

Reference 9

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Observation 37352639-f512-47ed-bcd5-a35413bcd038 · outbound

This paper cites A Systematic Analysis of 5G Networks With a Focus on 5G Core Security,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Systematic Analysis of 5G Networks With a Focus on 5G Core Security,

Reference 10

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This paper cites O-RAN WG3 E2 Service Model (E2SM) KPM Specification,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs O-RAN WG3 E2 Service Model (E2SM) KPM Specification,

Reference 11

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This paper cites O-RAN WG3 E2 General Aspects and Principles (E2GAP),.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs O-RAN WG3 E2 General Aspects and Principles (E2GAP),

Reference 12

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Observation b07d65c6-e606-4292-91c4-507d864a255f · outbound

This paper cites O-RAN WG3 E2 Application Protocol (E2AP),.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs O-RAN WG3 E2 Application Protocol (E2AP),

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:19.198771Z

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Observation 27f8a35c-6899-4cc6-85b8-a48fc157d622 · outbound

This paper cites Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities,

Reference 14

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Observation 6356c0ee-23d9-437b-ba87-1e421eacc983 · outbound

This paper cites A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection,

Reference 15

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0c7043c2-1561-489f-8d2d-204ba0eacf92 · outbound

This paper cites NetGPT: An AI-Native Network Architecture for Provisioning Beyond Personalized Generative Services,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs NetGPT: An AI-Native Network Architecture for Provisioning Beyond Personalized Generative Services,

Reference 16

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 42741802-a1cc-4961-aa39-c8087098edb8 · outbound

This paper cites S-RAN: Semantic-aware radio access networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs S-RAN: Semantic-aware radio access networks,

Reference 17

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Observation 0753ef85-3921-42b8-b7d3-52a86a0ed298 · outbound

This paper cites Generative AI-driven semantic communication networks: Architecture, technologies, and applications,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Generative AI-driven semantic communication networks: Architecture, technologies, and applications,

Reference 18

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Observation 8ae86b59-4828-407a-8ffa-513fb18e8654 · outbound

This paper cites A Collaborative Software Defined Network-Based Smart Grid Intrusion Detection System,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Collaborative Software Defined Network-Based Smart Grid Intrusion Detection System,

Reference 19

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Observation af7fec88-a12f-4547-be2d-679e7205ff93 · outbound

This paper cites Intrusion Detection in Software Defined Networks with Imbalanced Attack Classes,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Intrusion Detection in Software Defined Networks with Imbalanced Attack Classes,

Reference 20

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 57cd6b94-abb1-4d5e-a6d6-0dc018348dce · outbound

This paper cites SD-IIDS: Intelligent Intrusion Detection System for Software-Defined Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs SD-IIDS: Intelligent Intrusion Detection System for Software-Defined Networks,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4b9467bf-0815-46f8-ad0b-bca9f3c32c05 · outbound

This paper cites Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation edcd9045-bd2e-406b-a310-3b39a160bf5c · outbound

This paper cites Anomaly based Network Intrusion Detection for IoT Attacks Using Deep Learning Technique,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Anomaly based Network Intrusion Detection for IoT Attacks Using Deep Learning Technique,

Reference 23

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Observation e6a151cd-65eb-42fa-ab62-44770d9d9892 · outbound

This paper cites Enhancing IoT security with CNN and LSTM-based intrusion detection systems,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Enhancing IoT security with CNN and LSTM-based intrusion detection systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.893646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4a5a23fb-f4f4-479a-9f62-942ea6c00098 · outbound

This paper cites LH-IDS: Lightweight Hybrid Intrusion Detection System Based on Differential Privacy in V ANETs,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs LH-IDS: Lightweight Hybrid Intrusion Detection System Based on Differential Privacy in V ANETs,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.865274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c96e6b7c-9a05-4872-bc61-1b8fff7a8aac · outbound

This paper cites Improved IDS for Vehicular Ad-Hoc Network using Deep Learning Approaches,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Improved IDS for Vehicular Ad-Hoc Network using Deep Learning Approaches,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.843295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b45c8c51-3a65-469f-9d16-2cadd6b24cde · outbound

This paper cites Auto- Updating Intrusion Detection System for Vehicular Network: A Deep Learning Approach Based on Cloud-Edge-Vehicle Collaboration,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Auto- Updating Intrusion Detection System for Vehicular Network: A Deep Learning Approach Based on Cloud-Edge-Vehicle Collaboration,

Reference 27

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a3f3e432-f37a-46ac-8d0f-093fd3d26a82 · outbound

This paper cites From Signatures to Behavior: Evolving Strategies for Next- Generation Intrusion Detection,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs From Signatures to Behavior: Evolving Strategies for Next- Generation Intrusion Detection,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5aa1c20a-5157-4dfb-8203-7370a16faef0 · outbound

This paper cites Outside the Closed World: On Using Machine Learning for Network Intrusion Detection,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Outside the Closed World: On Using Machine Learning for Network Intrusion Detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.760122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03ac53c2-3601-4d01-b859-141157b0f0fb · outbound

This paper cites Network Intrusion Detection System: A Systematic Study of Machine Learning and Deep Learning Approaches,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Network Intrusion Detection System: A Systematic Study of Machine Learning and Deep Learning Approaches,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.735368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 82dd54a6-1b03-4a29-9899-dbee5ad9fa00 · outbound

This paper cites A Systematic Literature Review for Network Intrusion Detection System (IDS),.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Systematic Literature Review for Network Intrusion Detection System (IDS),

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cff252e8-293c-4a25-be27-ae9c6ce983ec · outbound

This paper cites Deep Learning-based Intrusion Detection Systems: A Survey,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Deep Learning-based Intrusion Detection Systems: A Survey,

Reference 32

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Source-reported events for the cited work

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This paper cites Survey on Federated Learning for Intrusion Detection System: Concept, Architec- tures, Aggregation Strategies, Challenges, and Future Directions,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Survey on Federated Learning for Intrusion Detection System: Concept, Architec- tures, Aggregation Strategies, Challenges, and Future Directions,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.679234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d9ae9d7-b86f-4177-82b7-762db018fd7d · outbound

This paper cites Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d38ee720-fe5d-4e91-b6c9-d59ce6e9d1a4 · outbound

This paper cites Deep Learning Advancements in Anomaly Detection: A Comprehensive Sur- vey,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Deep Learning Advancements in Anomaly Detection: A Comprehensive Sur- vey,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 879df1e1-d239-4f05-b810-0dbc6a222378 · outbound

This paper cites Deep Learning with Long Short-Term Memory for Time Series Prediction,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Deep Learning with Long Short-Term Memory for Time Series Prediction,

Reference 36

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43089e5d-2a3c-4a14-b0be-bc57912866b5 · outbound

This paper cites An optimized LSTM-based Deep Learning Model for Anomaly Network Intrusion Detection,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs An optimized LSTM-based Deep Learning Model for Anomaly Network Intrusion Detection,

Reference 37

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Source-reported events for the cited work

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Observation 3e7ac11c-8937-4fee-8fd6-213c12c39164 · outbound

This paper cites Attention- Based Deep Learning Frameworks for Network Intrusion Detection: An Empirical Study,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Attention- Based Deep Learning Frameworks for Network Intrusion Detection: An Empirical Study,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.548073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0621be87-4e5f-40db-8d2d-5a4189fe8ec8 · outbound

This paper cites Network Intrusion Detection Method Based on CNN-BiLSTM-Attention Model,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Network Intrusion Detection Method Based on CNN-BiLSTM-Attention Model,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.518309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d7602fdc-fa01-4be2-a243-9eb846ec821c · outbound

This paper cites A Temporal Convolutional Network-Based Approach for Network Intrusion Detec- tion,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Temporal Convolutional Network-Based Approach for Network Intrusion Detec- tion,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.483875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ab912518-9473-4a4d-aa26-87559796c4fc · outbound

This paper cites FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.446864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d7cf1dbe-d8b5-42c3-b2a7-0571b3d04087 · outbound

This paper cites Real-time Network Intrusion Detection via Decision Transformers.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Real-time Network Intrusion Detection via Decision Transformers

Reference 42

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Source-reported events for the cited work

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Observation ef6b8bc1-cae3-447a-8f61-1632e5e2ca76 · outbound

This paper cites Open RAN Security: Challenges and opportunities,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Open RAN Security: Challenges and opportunities,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.421229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ca07fb6e-a5bd-4b46-9950-86f5f5b69ac5 · outbound

This paper cites Intrusion Detection in 5G and Wi-Fi Networks: A Survey of Current Methods, Challenges, and Perspectives,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Intrusion Detection in 5G and Wi-Fi Networks: A Survey of Current Methods, Challenges, and Perspectives,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.400088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 54e45279-e988-4f5a-9c68-f56ee581c46e · outbound

This paper cites A Survey for Intrusion Detection Systems in Open RAN,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Survey for Intrusion Detection Systems in Open RAN,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.373184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a536f7df-0a00-49d6-9cd0-4e325d39c392 · outbound

This paper cites Machine Learning-Based Early Attack Detection Using Open RAN Intelligent Controller,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Machine Learning-Based Early Attack Detection Using Open RAN Intelligent Controller,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.345366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7310fe8b-715b-418c-b5db-d13859c5f9a1 · outbound

This paper cites An Efficient Intrusion Detection Solution for Near-Real-Time Open- RAN,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs An Efficient Intrusion Detection Solution for Near-Real-Time Open- RAN,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.325433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c0efe415-0353-4aee-94ac-2321a0514b0a · outbound

This paper cites Advancing O-RAN Security: Integrated Intrusion Detection and Secure Slicing xApps,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Advancing O-RAN Security: Integrated Intrusion Detection and Secure Slicing xApps,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.302093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 31efa948-b540-4591-8c45-d51f122b4d2d · outbound

This paper cites DDoS Detection and Mitigation Using d/xApp in O-RAN,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs DDoS Detection and Mitigation Using d/xApp in O-RAN,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.279378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 49fba6cd-d923-46cf-85b5-336331161812 · outbound

This paper cites Anomaly Detection for Mitigating xApp and E2 Interface Threats in O-RAN Near-RT RIC,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Anomaly Detection for Mitigating xApp and E2 Interface Threats in O-RAN Near-RT RIC,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.253473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 951b0518-1cdf-45fc-bbb7-c276491f8871 · outbound

This paper cites Peer- to-Peer Federated Learning Based Anomaly Detection for Open Radio Access Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Peer- to-Peer Federated Learning Based Anomaly Detection for Open Radio Access Networks,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.223643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 78adcda6-8561-4924-a077-0a6e18e79ba7 · outbound

This paper cites Federated Learning for Anomaly Detection in Open RAN: Security Architecture Within a Digital Twin,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Federated Learning for Anomaly Detection in Open RAN: Security Architecture Within a Digital Twin,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.197323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 967d5398-0d7e-4d5e-8d20-a6e353ad0205 · outbound

This paper cites DDoS Attack Detection Using Unsuper- vised Federated Learning for 5G Networks and Beyond,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs DDoS Attack Detection Using Unsuper- vised Federated Learning for 5G Networks and Beyond,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.165597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ad025f7f-25b6-4a7a-945a-9d4566ef18b3 · outbound

This paper cites SENTINEL: Self Protecting 5G Core Control Plane from DDoS Attacks for High Availability Service,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs SENTINEL: Self Protecting 5G Core Control Plane from DDoS Attacks for High Availability Service,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.135748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8f5794a6-54be-4f12-a2fb-c13417fb8fd5 · outbound

This paper cites Deep Learning-based DDoS- Attack Detection for Cyber–Physical System over 5G Network,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Deep Learning-based DDoS- Attack Detection for Cyber–Physical System over 5G Network,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.109267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 87784fcf-e973-4327-bf6a-471fe0ffbe1e · outbound

This paper cites DeepSecure: Detection of Distributed Denial of Service Attacks on 5G Network Slicing—Deep Learning Approach,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs DeepSecure: Detection of Distributed Denial of Service Attacks on 5G Network Slicing—Deep Learning Approach,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.077100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e46faf3-ca4e-475e-9b2d-a3b699f08332 · outbound

This paper cites LSTM-Based Anomaly Detection of PFCP Signaling Attacks in 5G Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs LSTM-Based Anomaly Detection of PFCP Signaling Attacks in 5G Networks,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.047020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b10566b-db75-4238-8129-31ec4681bc2c · outbound

This paper cites Early Network Intrusion Detection Enabled by Attention Mechanisms and RNNs,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Early Network Intrusion Detection Enabled by Attention Mechanisms and RNNs,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:18.019488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0174aae7-a7e3-43ca-8b66-32c294633a4d · outbound

This paper cites Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.988931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0f046729-0d8f-4487-b4c9-2113ecb1b396 · outbound

This paper cites A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.965883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c501911-3654-4ae0-8f4f-dc54107b980b · outbound

This paper cites Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.938270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 85c25ab8-b448-4995-96ed-7ff1badecd1d · outbound

This paper cites Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.920083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c1233c3-5d66-49a0-bd05-fc5f60cea649 · outbound

This paper cites Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.357985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28fa16e8-d584-41f5-8a17-2d91b60764f9 · outbound

This paper cites Large Language Models for Cyber Security: A Systematic Literature Review,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Large Language Models for Cyber Security: A Systematic Literature Review,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.366265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c14253a-0a2a-4c66-b64e-3164c3b51834 · outbound

This paper cites Advancing Cyber- security with LLMs: A Comprehensive Review of Intrusion Detection Systems and Emerging Applications,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Advancing Cyber- security with LLMs: A Comprehensive Review of Intrusion Detection Systems and Emerging Applications,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.900217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 63dbafa9-d8e3-46e6-a0bd-6d7905fe3e58 · outbound

This paper cites Robust Network Intrusion Detection Through Explainable Artificial Intelligence (XAI),.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Robust Network Intrusion Detection Through Explainable Artificial Intelligence (XAI),

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.870222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 940be4da-b7a4-4a20-bcca-a81e61a72eb6 · outbound

This paper cites XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:47:17.167379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b8db3373-c94b-4407-b9f9-bf38dc481b09 · outbound

This paper cites RAN Explainable Anomaly Prediction for 6G Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs RAN Explainable Anomaly Prediction for 6G Networks,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.840413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2177139d-b8cb-4c68-9f5b-6de96f17665b · outbound

This paper cites SpotLight: Accurate, Explainable and Efficient Anomaly Detection for Open RAN,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs SpotLight: Accurate, Explainable and Efficient Anomaly Detection for Open RAN,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.809764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2a7546bb-2624-4a52-8f0f-f1dcd3d34d91 · outbound

This paper cites Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems using Decision Tree Model,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems using Decision Tree Model,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.777444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 38db5355-ea3a-4b52-a797-9e8f0db5803b · outbound

This paper cites Explainable AI for Intrusion Detection Systems: LIME and SHAP Applicability on Multi-Layer Perceptron,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Explainable AI for Intrusion Detection Systems: LIME and SHAP Applicability on Multi-Layer Perceptron,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.747974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69ab1ee9-700f-4fa0-9717-98413ccf9524 · outbound

This paper cites Explainable AI and Random Forest based Reliable Intrusion Detection System,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Explainable AI and Random Forest based Reliable Intrusion Detection System,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.725738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e7e627d5-3115-4f2f-bc52-0c700925a929 · outbound

This paper cites Harnessing the Advanced Capabilities of LLM for Adaptive Intrusion Detection Systems,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Harnessing the Advanced Capabilities of LLM for Adaptive Intrusion Detection Systems,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.703291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a2b015a-0efc-4359-be4d-38d978e98689 · outbound

This paper cites Finetuning Large Language Models for Vulnerability Detection.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Finetuning Large Language Models for Vulnerability Detection

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.497645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db43ac8b-0fce-4e02-a5bc-3124b5602c3d · outbound

This paper cites Intrusion Detection Technology Based on Large Language Models,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Intrusion Detection Technology Based on Large Language Models,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.673806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 50f9cca4-3dd8-41a8-9c06-ecaa2d9350f1 · outbound

This paper cites Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.571341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2b61d58-efd0-4f48-962c-f2553b4abd9e · outbound

This paper cites Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.592929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7757abe6-3e8c-4dd5-91b9-f7d53a6363c0 · outbound

This paper cites Reasoning Beyond Limits: Advances and Open Problems for LLMs,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Reasoning Beyond Limits: Advances and Open Problems for LLMs,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.600482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 578c686c-89eb-4a07-8626-254a0acff0a4 · outbound

This paper cites 6G-XSec: Explainable Edge Security for Emerging OpenRAN Archi- tectures,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs 6G-XSec: Explainable Edge Security for Emerging OpenRAN Archi- tectures,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.647578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9ac9f953-1090-4746-b8cd-dfcfc9bba812 · outbound

This paper cites XAI for All: Can Large Language Models Simplify Explainable AI?.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs XAI for All: Can Large Language Models Simplify Explainable AI?

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.614537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0420d66-d5da-4efc-a46b-8a506c39c0be · outbound

This paper cites HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs).

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.625098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c5ef2f6-2125-4a86-8bbe-64276af03586 · outbound

This paper cites Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.631324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d00e3bd3-7610-4f11-8ff6-2ac00332221a · outbound

This paper cites ChatIDS: Explainable Cybersecurity Using Generative AI.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs ChatIDS: Explainable Cybersecurity Using Generative AI

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.638779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 140851a3-f347-46a7-ab84-66874ed673ec · outbound

This paper cites A Unified Approach to Interpreting Model Predictions,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Unified Approach to Interpreting Model Predictions,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.608295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9da6c174-56ea-4dc2-864a-69b604438b5b · outbound

This paper cites ”Why Should I Trust You?.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs ”Why Should I Trust You?

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.580279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 42ec309a-8718-44c4-971e-d9d60ddef10f · outbound

This paper cites Large Language Models for Wireless Networks: An Overview from the Prompt Engineering Perspective,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Large Language Models for Wireless Networks: An Overview from the Prompt Engineering Perspective,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.674726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e6af33-0649-46b0-821c-5bddff76f708 · outbound

This paper cites Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.533443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c37165d0-b1cb-4a0c-b1a5-87f52406132f · outbound

This paper cites NCSRD-DS-5GDDoS: 5G Radio and Core metrics containing sporadic DDoS attacks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs NCSRD-DS-5GDDoS: 5G Radio and Core metrics containing sporadic DDoS attacks,

Reference 88

Resolution: verified exact; doi, observed 2026-08-15T17:47:16.779618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 23987ee1-d3cc-43f1-9fa5-347d4a8ab856 · outbound

This paper cites User Terminals as Attackers: An Open Dataset Analysis of DDoS Attacks in 5G Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs User Terminals as Attackers: An Open Dataset Analysis of DDoS Attacks in 5G Networks,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.508570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b7390e7-81ef-4668-8ef4-fd3fc6f40ad0 · outbound

This paper cites Advancing Predictive Security for Con- sumer Applications in Beyond 5G/6G Networks With Annotated Datasets,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Advancing Predictive Security for Con- sumer Applications in Beyond 5G/6G Networks With Annotated Datasets,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:17.481673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers