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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.330740Z digest=sha256:0036f29a9d245865f71c165079e6aa334dbb629bf1275b5f5e39e6de4280f829

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.334823Z digest=sha256:bfd71f8718f93b46b219d6cafd0db3b6003c7594f22bfac009add5a3cc4e3af9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.341437Z digest=sha256:f3eab2f0d038f72de09f8597a4bbff0fdfbc9e41f46a604e265b55028c956890

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.354805Z digest=sha256:723019017daee9c1f108614a98b634e4206ed6dabbec33c1e55967dfe99bede8

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.359936Z digest=sha256:3385a4e45b9def21f293b7f660ae18f097c06a8dfe047840ed9538c0c4fdbd9c

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.365357Z digest=sha256:0595a4ab04044a7f47c6c88a13fb4f584b83f65b4ee83d057374603d5d408229

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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raw_fallback, observed 2026-08-10T20:27:29.860037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.372861Z digest=sha256:d9ed24e765df523f5b693eadb6665604d954fb2962688037b139e1a163f10bdd

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.378143Z digest=sha256:f508f18579d52bfb8382030410bad4413f653752cde922ee25b25c0426ac5e20

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:f11fcde38572664261ee68e629d5b14a165e1c74b6999ffe10bc74bb5e100b06

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.390493Z digest=sha256:b03068e1ac52489b5e95ca394b2d98bc117385b1b1a21442de6e6efd4d103c26

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.395848Z digest=sha256:d1d1867408386d45c8f575ae61264f824fb7e86fa6adf31b5e262808c8eccb0e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.400013Z digest=sha256:1c179eaea36e56a88f1f8924d9a450718b2a68edc7318547275ed93e16f2cd25

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:27:28.403917Z digest=sha256:fef17c9a15154fcbee70310b7fb1391cf358f9922742fdc468b468f33d294b61

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=sha256:97013d1586bf9ea8c3ca8a8b7d8e953947eb7b2d6175e8c6147c0161c22b2c5f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.413916Z digest=sha256:68316f0700fce2e141ed09b9f8fd9ef6cf1326253270b51aeec572684b093ba2

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=sha256:26104539b479f78ecdae7b5340ac3d70a4185f45e8117144fb07a5ed247a4091

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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raw_fallback, observed 2026-08-10T20:27:29.700140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.424075Z digest=sha256:4e9b3b9d662988e283c3e3c03940da5dcfc1474e14c5e2604b7804f64fcd8071

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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raw_fallback, observed 2026-08-10T20:27:29.674646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.429253Z digest=sha256:69303b616464a66462832188844bf08a4fb050313ea9277edb593845e3a802ad

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=sha256:7f2d7fb2ee48293363230b3c0c5a6a9f53e124d4fb389d7665c56dc7e14e1b71

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.454926Z digest=sha256:6a1941b11701d88ce62e32288b869fc0495b016356c2b36cc65143bd6af82317

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.489213Z digest=sha256:b85522f046a8ab99d74b5e42f97f95bf9dbc7257ca11d98666eb8b95c9264015

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.509126Z digest=sha256:69397cee4f795d4962173c87c89c1da115ac839a4d39b9241701cb4340d3c2c8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.514102Z digest=sha256:5657fede4474b2ca166262fde965e722cdc4aecd06e8209e9a575adc578a7969

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.520025Z digest=sha256:35377f5b87598f0a42e06049a7cdb9c9e83903505c5415f17d638419b2c9c291

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=sha256:3deae38e717dd314113d3ef4f238bb012e2b7763025628b89880da2e28511318

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:ce0fc29c877bb5f3a5b904496d423cc386a66e9834b6ac08241637ed2c6db4ae

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=sha256:81e7f35d5580de8b97625e06a6821a2ea1a4578e6dcae53e442c40a5d2a3f33c

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.576924Z digest=sha256:1309f230b381412fe44dcbfac63d6bd0fbef23415819b7f1cd206fdf597f3a3f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.582204Z digest=sha256:b04f988c21141a5d5829e41be5c6e1503230f30250ee22590fbb4260df7e6f29

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.587243Z digest=sha256:c4c3d8810f478dca168324765a2917620dd1cb45c47a36ad587900f0a59f90a1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.592581Z digest=sha256:c5d8ec56e028afe3858e08420539aafd38452c82655262e6c2d25136437ccb95

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.596640Z digest=sha256:29f4914716564ae4240a9f84389491c075c71954fb8da983ad758fff348d5ce4

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=sha256:6b5ed2f7b60d0e6424ece4c97978b310caf0297fea6757c9931bdb2672870cc0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.608039Z digest=sha256:8019eb8184dfeb0cc6fb2b01b90de9955740f083d2676cae7aacda5c121db399

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:f473833fdc9169c46ad48a27163a02a4089d19adf25b8bdf403bed5c68c25cae

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:b8014a0d0b2efbda51bc5f3d4172ef8480486102c408f8a5931b2820b75edcdd

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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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.632258Z digest=sha256:f0bfb409f13ffcb9728f9b39a6cdad7969a441157ad0763e0b41af3b3c09bfbe

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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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.636643Z digest=sha256:f46ea867ea422a480b248293ec43f8d5cf82d67cee4dccd796352c35828c8ec5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.643670Z digest=sha256:8578006d926f5c750847830c6f8ba9f812aef7a29541c58f1fd731d72e3d9c75

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=sha256:6234ca926867f3a15fe0b6f42f7dbb2afca721a89b13aee05e08bebcc0aed2e1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.668054Z digest=sha256:31b3ca72d4b2938b6b10fc255dbb73b5a4e387a300877ae0d9fb90e72171580c

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=sha256:749b8dc2eef6ea25b3234b31c943fe14df6c82a612ad4f20a71076fdcc9c362f

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:b752463ff6b6afc81e6cbcc08828e3acab53e2f6b199bd49e77cd0329a76f5e2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.681979Z digest=sha256:462b57eb7157eedb2dc66b7221aea8da889faa947aaa22b9bad5ae767c9fec67

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.694759Z digest=sha256:b345a5f69b55e88d3faabd9774084a46a803a96b42d8823315e97a6d964af650

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.706450Z digest=sha256:4a2d7d324c20e581c130fd12b21d50b57a892400e8b772889fa7d8394bc6e9a7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.713675Z digest=sha256:2ce24613f0df5fef54bdc6b3bff459105c54058254ac16982f4abd55152c1be7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.718429Z digest=sha256:86153f2ddae006946c16f0df855ac9ed1236496feed7a9babf69c942732f3bc0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.723330Z digest=sha256:63f5aa8b5c5b5598f11400e4761d8db062fe641ac4697ccc2bfa3918eb8f368c

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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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=sha256:4303072dc955f66044e7039cb5c737284497f7f4e6392bfe0251c9ae45e05c1d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.732571Z digest=sha256:ebf6999b98a2c2d6196a4b45692836acd51fca332dc57bc2a539130ca4b119a1

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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raw_fallback, observed 2026-08-10T20:27:28.846088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:27:28.737208Z digest=sha256:61d528e720e28f86b6c12ee3ac42a61a6eb602466483c4af70b118fedbe974e1

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=sha256:72c298d7d6fa0a8f8ec68af3223426976bf5a5660d0b1eaa713ace33a48343c9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T18:37:43.041129Z digest=sha256:5c5f8b639fc8cd2689e25afc5e8eef0437c61687b3720f017556ccd32b4926a0