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Paper Citation Record · LEDGER

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph

As of 12 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2501.08610.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.08610 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:27:28.737208Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:09:53.504998Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T00:15:53.938296Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy37
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9792151e-2b54-4a7b-8f18-f7c629693e7a · outbound

This paper cites A synthetic traffic model for half-life,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph A synthetic traffic model for half-life,

Reference 1

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raw_fallback, observed 2026-08-10T20:27:30.128694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5abd7105-2f94-4632-a9ae-7b8f32a2a853 · outbound

This paper cites Empirically derived analytic models of wide-area tcp connections,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Empirically derived analytic models of wide-area tcp connections,

Reference 2

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raw_fallback, observed 2026-08-10T20:27:30.048108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.330740Z digest=sha256:24cd85761e59671bd5a81830fadddbe9b44f11b6adca111029f8b3906ce8427e

Observation 31d422fe-419d-4aa3-9d4f-0fc40565784a · outbound

This paper cites Robust network traffic classification,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Robust network traffic classification,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.334823Z digest=sha256:5936f4d5dd69cc4b46146cd296b7167eb9f0694359dd3f4c2508ead5707a1578

Observation d9c80966-a766-4f3e-839c-712f4bf87623 · outbound

This paper cites A survey of techniques for internet traffic classification using machine learning,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph A survey of techniques for internet traffic classification using machine learning,

Reference 4

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raw_fallback, observed 2026-08-10T20:27:29.932284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.341437Z digest=sha256:24b9d21bcdf58f49364ef45ec0bc527d66c67034a9b27854ae0dbdef58f2d17d

Observation 73e104e5-bad0-4116-b4da-5b406fc8507c · outbound

This paper cites Classification of attacks using support vector machine (svm) on kddcup’99 ids database,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Classification of attacks using support vector machine (svm) on kddcup’99 ids database,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.354805Z digest=sha256:0bd5a8c64321a2b091fccf06efa6376e8b6ee817657b8f019a141b89aaee28f5

Observation da79055c-3863-4347-8810-3b76bf28f8b7 · outbound

This paper cites Ddos detection and anal- ysis in sdn-based environment using support vector machine classifier,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Ddos detection and anal- ysis in sdn-based environment using support vector machine classifier,

Reference 6

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raw_fallback, observed 2026-08-10T20:27:29.900690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.359936Z digest=sha256:168444a5a1e9ef8937cf3760cdbf06500a7ac219d273703271a79faaa7206ae9

Observation 470d3a5d-8adf-4b50-b09d-31b03019eb37 · outbound

This paper cites A survey of deep learning-based network anomaly detection,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph A survey of deep learning-based network anomaly detection,

Reference 7

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raw_fallback, observed 2026-08-10T20:27:29.877719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.365357Z digest=sha256:91af1ae0cb5f09015c0626d1dbb9fb60da10a738a9ea12383e22b8c849c95aaf

Observation 022d4294-2e3a-4965-a367-aee3cef5524d · outbound

This paper cites Machine learning and deep learning methods for intrusion detection systems: A survey,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Machine learning and deep learning methods for intrusion detection systems: A survey,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.372861Z digest=sha256:36ad5f5d6d8c0e3a7fe8c801cc6dded0cb7b5f15ac2b5703b17368d46411394d

Observation 581322f4-98a5-4614-8851-1eed8f1397ba · outbound

This paper cites Toward the accurate identification of network applications,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Toward the accurate identification of network applications,

Reference 9

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raw_fallback, observed 2026-08-10T20:27:29.840198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.378143Z digest=sha256:4bbdbe85326c5178b95682e9ca8632dee419482938b306e94ef0e6383bd71bde

Observation 77a84f49-2585-4de1-985a-32fdc34e2e74 · outbound

This paper cites Appscanner: Automatic fingerprinting of smartphone apps from encrypted network traffic,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Appscanner: Automatic fingerprinting of smartphone apps from encrypted network traffic,

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.383863Z digest=sha256:2adb31cdaa49631eb1fadc15c07c494befc4f2c06ca3d3fdd39050fc006766d0

Observation 1861fbd5-ccf2-48e6-9979-382cc8fbf802 · outbound

This paper cites Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traf- fic,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traf- fic,

Reference 11

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raw_fallback, observed 2026-08-10T20:27:29.811930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.390493Z digest=sha256:0436ff975ef759ad5e995777ac76fd78a3f9fa913ca85968f7293f46769dba7c

Observation eb65b656-54aa-4d31-b3c5-613f8edb23b2 · outbound

This paper cites Encrypted traffic classification: Combining over-and under-sampling through a pca-svm,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Encrypted traffic classification: Combining over-and under-sampling through a pca-svm,

Reference 12

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raw_fallback, observed 2026-08-10T20:27:29.792300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.395848Z digest=sha256:591728c2a3c48ea27d33743fcb81cb894d6a3ee1f4200936230b5b8401abb181

Observation 6b6994af-8d6d-4325-bd29-7bfe35bde650 · outbound

This paper cites Fs-net: A flow sequence network for encrypted traffic classification,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Fs-net: A flow sequence network for encrypted traffic classification,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.400013Z digest=sha256:e810a3eb4571ff99e3eb322b8309552ffd324d3809cdb0241051fd28d36fb83b

Observation c3726a27-99c8-4311-b1d8-6a3bc033de9a · outbound

This paper cites Mtt: an efficient model for encrypted network traffic classification using multi-task transformer,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Mtt: an efficient model for encrypted network traffic classification using multi-task transformer,

Reference 14

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no resolver link, observed 2026-08-10T20:27:28.403917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.403917Z digest=sha256:ca015b5168dafd88920f857d2def124be549dcf2d8d690b53871192e6a8d1cfa

Observation 2a1f2c15-e56f-4de0-a0ef-5bf0fa6b0bf6 · outbound

This paper cites NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.409521Z digest=sha256:9380b019ceaa96fff7e872e090ca6ee60b60f58a9f025329b7e01cdbd9677fe7

Observation 5bd30bb8-75ae-4d9a-b06f-ccfbb4c746cc · outbound

This paper cites Clarify confused nodes via separated learning,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Clarify confused nodes via separated learning,

Reference 16

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raw_fallback, observed 2026-08-10T20:27:29.726641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.413916Z digest=sha256:dd8a0642645ba3d14545588bb4a916e34ada29f07f23d43c0e6930648dafab92

Observation 727dbdcf-acd7-41ab-ad96-65f8fb7f394b · outbound

This paper cites Flow-based encrypted network traffic classification with graph neural networks,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Flow-based encrypted network traffic classification with graph neural networks,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.418013Z digest=sha256:3148487aa667388a1536ade77e293ac2527acbb49b8be97e9e10c84c5a53aa8f

Observation 171eb2c8-6ca6-4e54-9e67-9316fcac791a · outbound

This paper cites Ftg-net: Hierarchical flow-to-traffic graph neural network for ddos attack detec- tion,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Ftg-net: Hierarchical flow-to-traffic graph neural network for ddos attack detec- tion,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.424075Z digest=sha256:550aa271386bec8b17d5005b387500f31dcc81ebecfa85d5918c663678dc07d2

Observation 29675a35-4d8c-4d5f-9d56-7dd62883bf45 · outbound

This paper cites Intrusion detection for encrypted flows using single feature based on graph integration theory,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Intrusion detection for encrypted flows using single feature based on graph integration theory,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.429253Z digest=sha256:5609252e118112f8df964836ea60b806055a8ceed5a37a3ec9ce30b8e497b226

Observation 02e797a8-026a-47de-bedf-bfaff808dd50 · outbound

This paper cites De- gnn: Dual embedding with graph neural network for fine-grained en- crypted traffic classification,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph De- gnn: Dual embedding with graph neural network for fine-grained en- crypted traffic classification,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.436120Z digest=sha256:32de04889d4e560d1f37d848ab0832b2abe2d1fa1733923970c880998d5bb4de

Observation 1de26fda-a39e-48c5-85b3-08df1d15f088 · outbound

This paper cites Graph convolutional neural networks for web-scale rec- ommender systems,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Graph convolutional neural networks for web-scale rec- ommender systems,

Reference 21

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raw_fallback, observed 2026-08-10T20:27:29.636234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.454926Z digest=sha256:a7353930b127683bb97fe2ea775d5851fd45dcf961b5c5cd3ddd571940b994fc

Observation 40213ece-5114-4a51-b5d7-2a19f0810a9b · outbound

This paper cites Robustecd: Enhancement of network structure for robust community detection,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Robustecd: Enhancement of network structure for robust community detection,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.489213Z digest=sha256:f71318981109bfae5c88799cc5428acaf9aaec8b7fe0dd556c4a558e6efe1162

Observation 9d039adb-51ee-461f-8223-f8f9940a97f4 · outbound

This paper cites Supervised community detection with line graph neural networks,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Supervised community detection with line graph neural networks,

Reference 23

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raw_fallback, observed 2026-08-10T20:27:29.583861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.509126Z digest=sha256:355b7596bc7b329557531016cfcbd1fb7656ce84b63d6055929e2cfd388455bc

Observation 37cbfe51-fe03-43e8-96b3-ce8fec0d46ba · outbound

This paper cites Heterogeneous feature augmentation for ponzi detection in ethereum,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Heterogeneous feature augmentation for ponzi detection in ethereum,

Reference 24

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raw_fallback, observed 2026-08-10T20:27:29.563134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.514102Z digest=sha256:e425fbd4d0f11455fcfacc89afd23b3b9d2851c9ef6491fb7bed2c10221cbcc9

Observation 2031897f-90be-4035-8f38-251f3e4fa40b · outbound

This paper cites Time-aware metapath feature augmentation for ponzi detection in ethereum,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Time-aware metapath feature augmentation for ponzi detection in ethereum,

Reference 25

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raw_fallback, observed 2026-08-10T20:27:29.534546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.520025Z digest=sha256:f28d2a17a8a0762345ab54e933567bfce5524d3b4400f19bdeabc35b0faaba9f

Observation 0f7610d9-cf41-4b3b-b2c3-cd9e7b9733c1 · outbound

This paper cites Behavior- aware account de-anonymization on ethereum interaction graph,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Behavior- aware account de-anonymization on ethereum interaction graph,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.530224Z digest=sha256:f5e5f1d1588a892ac00fe45f60fbdde398a156d0a7c5f9091357262fdb41ca18

Observation 5e928c53-ffaa-4c7a-9ff8-f3558f8551b6 · outbound

This paper cites Hypergraph neural net- works,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Hypergraph neural net- works,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.544756Z digest=sha256:3e583bb5cb410f8092fb2465e1708259431ffc90bc50fba6a2cdf89ac77c0062

Observation 1f7645b3-b2da-4d08-9d5d-bc9e3f3f91d1 · outbound

This paper cites Hypergcn: A new method for training graph convolutional networks on hypergraphs,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Hypergcn: A new method for training graph convolutional networks on hypergraphs,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.558366Z digest=sha256:f66640f5eab677ff74db5a4f421e6f60b127d85d8c34ec5ef6a7a03d84e94bbc

Observation 84b6119d-eb57-4301-b62e-a4b162b03a72 · outbound

This paper cites Hypergraph attention net- works,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Hypergraph attention net- works,

Reference 29

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raw_fallback, observed 2026-08-10T20:27:29.431067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.576924Z digest=sha256:ea353c31dda8e2169d7e26101e625f5813a479e46d06d2156b6da67ef512a1a7

Observation 408bc670-dd5b-4a06-bf98-37c2f3c8fdc9 · outbound

This paper cites Next-item recommendation with sequential hypergraphs,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Next-item recommendation with sequential hypergraphs,

Reference 30

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raw_fallback, observed 2026-08-10T20:27:29.392430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.582204Z digest=sha256:300ee5bec17f08e690b642727432762d71a5d3569aa53e893d0c0e5d931ed6a8

Observation d2f53a18-1f87-45a0-8e5b-8375eb41d372 · outbound

This paper cites Hypergraph clustering for better network traffic inspection,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Hypergraph clustering for better network traffic inspection,

Reference 31

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raw_fallback, observed 2026-08-10T20:27:29.364769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.587243Z digest=sha256:db73dc41e65270946529dad1ac5406d4c07a944c38dcdfd76c9044467e85dc69

Observation eb096e31-a564-456c-af21-9e422247d531 · outbound

This paper cites Routing hypergraph con- volutional recurrent network for network traffic prediction,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Routing hypergraph con- volutional recurrent network for network traffic prediction,

Reference 32

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raw_fallback, observed 2026-08-10T20:27:29.307403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.592581Z digest=sha256:d26805d3d5bb05cd6d71f3bd09ed1c3b5a292bc94d61e9731f3be56f7c2bb2d4

Observation 864e2af1-facf-412b-adf5-1818526fdaa1 · outbound

This paper cites Hrnn: Hypergraph recurrent neural network for network intrusion detection,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Hrnn: Hypergraph recurrent neural network for network intrusion detection,

Reference 33

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raw_fallback, observed 2026-08-10T20:27:29.278249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.596640Z digest=sha256:592653bd4f126a477a7bcad3f968cb8b40c293a369ef6de88d235e53691989e2

Observation 5adaf9b1-1a6b-4f19-917e-40e05677af76 · outbound

This paper cites Long short-term memory,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Long short-term memory,

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.601714Z digest=sha256:6ac647127febe24183c474656601cd9e08b532e46c7f4cb1afe13e657df34918

Observation 826099d8-a29f-418c-a857-c535ddf7a87d · outbound

This paper cites Accurate decentralized application identification via encrypted traffic analysis using graph neural networks,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Accurate decentralized application identification via encrypted traffic analysis using graph neural networks,

Reference 35

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raw_fallback, observed 2026-08-10T20:27:29.241572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.608039Z digest=sha256:92c2354dcb8bfd555ee3ea6768af6749e07343ee2f9a6b1d8e10c503c99040a5

Observation 7f8af63a-6522-4d37-912a-3c71b9162cb9 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Semi-Supervised Classification with Graph Convolutional Networks

Reference 36

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no resolver link, observed 2026-08-10T20:27:28.614784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.614784Z digest=sha256:22d5957ea9ddc3e6250192b9049b46f398b96e2a168bb9236785e9f8c4600fc0

Observation b3c52469-c2f7-4e61-8579-79e44311b0be · outbound

This paper cites Data Augmentation on Graphs: A Technical Survey.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Data Augmentation on Graphs: A Technical Survey

Reference 37

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no resolver link, observed 2026-08-10T20:27:28.626709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.626709Z digest=sha256:a94dc4c63c511b408c86b42c75c8141812e6e5bb86da45625e922b1b927285bb

Observation dbe90a2a-236c-4629-a1c0-3b3a29908fb5 · outbound

This paper cites M-evolve: structural- mapping-based data augmentation for graph classification,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph M-evolve: structural- mapping-based data augmentation for graph classification,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-10T20:27:29.217683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.632258Z digest=sha256:410d25ac0972ac1855ab5288f0ecad6cf36a18521cc9ce03199e90ac6089ce95

Observation 39a99f86-0b25-4080-bb3e-2f3a73968d8f · outbound

This paper cites Data augmentation for graph classifi- cation,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Data augmentation for graph classifi- cation,

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-10T20:27:29.197417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.636643Z digest=sha256:52c09f409a09cf738b05126da7e507acac1dacf6262088c529e7688b8eebcbc8

Observation f7931d48-67d4-4a3b-a353-feea28db4aa6 · outbound

This paper cites Ciciomt2024: Attack vectors in healthcare devices-a multi-protocol dataset for assessing iomt device security,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Ciciomt2024: Attack vectors in healthcare devices-a multi-protocol dataset for assessing iomt device security,

Reference 40

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raw_fallback, observed 2026-08-10T20:27:29.153926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.643670Z digest=sha256:0c94fd59209f0ee8167df4d2b6c1095dd528a1f1116741bce1ebeee0ac85c63f

Observation 7a7f6ca6-873a-4794-8191-c265bd598712 · outbound

This paper cites Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set),.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set),

Reference 41

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no resolver link, observed 2026-08-10T20:27:28.650049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.650049Z digest=sha256:747dc5ddfe2abbb1aa3a609b2f443199dfd5ba3580c873fdcafb33f332fe03a8

Observation 060af391-e655-48cc-827c-0c2f9aa8aada · outbound

This paper cites Didarknet: A contemporary approach to detect and characterize the darknet traffic using deep image learning,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Didarknet: A contemporary approach to detect and characterize the darknet traffic using deep image learning,

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-10T20:27:29.091990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.668054Z digest=sha256:153c13317168fca7ea16156a154e58420609e850730e46ca5436e2557e3fb531

Observation 310fbab2-6a2e-4077-b3df-6eb5468199d3 · outbound

This paper cites Characterization of encrypted and vpn traffic using time-related,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Characterization of encrypted and vpn traffic using time-related,

Reference 43

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no resolver link, observed 2026-08-10T20:27:28.672864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.672864Z digest=sha256:7ae7cdf79bc82854fa7edf726689943ee4201638554268e4a881415390af6e9a

Observation 55692d9b-8091-4b74-9a00-537e1be0e11d · outbound

This paper cites Malware traffic classification using convolutional neural network for representation learning,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Malware traffic classification using convolutional neural network for representation learning,

Reference 44

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no resolver link, observed 2026-08-10T20:27:28.676618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.676618Z digest=sha256:3dea082ddb7782347693228dc0e597910621a62bf319ede4eb8047dcfc356aaf

Observation 40e19ec8-fb18-44f7-9dd6-0ba35acf938b · outbound

This paper cites A framework for resource-aware online traffic classification using cnn,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph A framework for resource-aware online traffic classification using cnn,

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-10T20:27:29.019308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.681979Z digest=sha256:c427bdb62c079bbf664898cb19ff848749b87ce9c3b292b76e7386b6c710aedb

Observation 94536e5a-3025-44da-b908-956ee94a073c · outbound

This paper cites An lstm- based deep learning approach for classifying malicious traffic at the packet level,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph An lstm- based deep learning approach for classifying malicious traffic at the packet level,

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-10T20:27:28.991825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.694759Z digest=sha256:7e12f7d4a5818509339ff29f3f48df289bf555eb9571e0404154d3628c60301f

Observation 6a89bea4-be23-498a-8ff2-6ef41246a681 · outbound

This paper cites App-net: A hybrid neural network for encrypted mobile traffic classification,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph App-net: A hybrid neural network for encrypted mobile traffic classification,

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-10T20:27:28.967518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.706450Z digest=sha256:36e6c0e3d11170d95d7cdf6bffd93e494e2956d1c04bf3dcdaecab07b4b59957

Observation bbdedc3c-ceb9-4242-8312-9e4650984e99 · outbound

This paper cites Tcgnn: Packet-grained network traffic classification via graph neural networks,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Tcgnn: Packet-grained network traffic classification via graph neural networks,

Reference 48

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raw_fallback, observed 2026-08-10T20:27:28.950133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.713675Z digest=sha256:588f14c3a435fc95e7ea1740a356c34a33d66f4c94e15b29079f50395028ce9a

Observation f3153f44-7609-42b9-b55f-ac0068525d39 · outbound

This paper cites Hgnn+: General hypergraph neural networks,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Hgnn+: General hypergraph neural networks,

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-10T20:27:28.921721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.718429Z digest=sha256:7177735b76ce5f6013d2a14c3b0edbdcd6e65dd568381149d6f7f2814d4dc061

Observation 66000eee-b4f3-40dc-adac-9f59598d7089 · outbound

This paper cites Graphddos: Effective ddos attack detection using graph neural networks,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Graphddos: Effective ddos attack detection using graph neural networks,

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-10T20:27:28.891615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.723330Z digest=sha256:f699b1ce715cc8230d0b870ce686f48d3423cef36a14ad8f490ba16382e8f083

Observation 6a41975e-9803-4bf9-a4e4-2dee3b538b3f · outbound

This paper cites Tfe-gnn: A temporal fusion encoder using graph neural networks for fine-grained encrypted traffic classification,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Tfe-gnn: A temporal fusion encoder using graph neural networks for fine-grained encrypted traffic classification,

Reference 51

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unresolved
no resolver link, observed 2026-08-10T20:27:28.727569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.727569Z digest=sha256:ede2fd87f0be0fbb048e2bbcf285571db6db2cd786c1139989b09679cfaf089b

Observation 6d335de0-17ad-4095-8b3d-e007646060d0 · outbound

This paper cites Multi-class network traffic genera- tors and classifiers based on neural networks,.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Multi-class network traffic genera- tors and classifiers based on neural networks,

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-10T20:27:28.866561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.732571Z digest=sha256:373329575e469d01eb5c2cc554433b5e885c5ba0233ddc7042400f88a2a68f7e

Observation 50eacc26-f78a-4bbd-bf55-e52232e71c7b · outbound

This paper cites an unresolved cited work.

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Unresolved cited work

Reference 2017

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:27:28.737208Z digest=sha256:5cbe67fd3d0ea4431d2b4764903e6b0f2d6e5194201cacdd835046a6153e97c3

Pith citing papers

Observation de1b7a32-c382-4859-af3e-d19611d0de0d · inbound

On the Feasibility of Inter-Flow Service Degradation Detection cites this paper.

On the Feasibility of Inter-Flow Service Degradation Detection Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph

Reference 7

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no resolver link, observed 2026-08-04T17:09:53.504998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:09:53.504998Z digest=sha256:3985b0b0684c2134a124c8ca2ded6f4ca0709e72b27bb24b337a15f3380bab86

Observation 0ed68d07-027a-4cb4-b1d6-53dd5b79c8cb · inbound

Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments cites this paper.

Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph

Reference 12

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verified exact
arxiv_id, observed 2026-07-09T00:19:35.821661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T18:37:43.041129Z digest=sha256:e0e5347b0af18769528b5b4b287572c2984efab5e07980ec3ebcbff26fa7c774