{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T02:40:40Z","timestamp":1773974440263,"version":"3.50.1"},"reference-count":66,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,28]]},"DOI":"10.1109\/icnp61940.2024.10858520","type":"proceedings-article","created":{"date-parts":[[2025,2,4]],"date-time":"2025-02-04T18:29:45Z","timestamp":1738693785000},"page":"1-12","source":"Crossref","is-referenced-by-count":2,"title":["Proteus: A Difficulty-Aware Deep Learning Framework for Real-Time Malicious Traffic Detection"],"prefix":"10.1109","author":[{"given":"Chupeng","family":"Cui","sequence":"first","affiliation":[{"name":"International Graduate School, Tsinghua University,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Li","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guorui","family":"Xie","sequence":"additional","affiliation":[{"name":"International Graduate School, Tsinghua University,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruoyu","family":"Li","sequence":"additional","affiliation":[{"name":"International Graduate School, Tsinghua University,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenhui","family":"Yuan","sequence":"additional","affiliation":[{"name":"Northumbria University,Department of Computer and Information Science,Newcastle,United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Jiang","sequence":"additional","affiliation":[{"name":"International Graduate School, Tsinghua University,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"103111","DOI":"10.1016\/j.jnca.2021.103111","article-title":"Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review","volume":"187","author":"Lee","year":"2021","journal-title":"Journal of Network and Computer Applications"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2019.8885534"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISCIT.2009.5341005"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2015.7275914"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2494502"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP57164.2023.00042"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3460120.3484585"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IST.2016.7738244"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505665"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1465"},{"key":"ref12","first-page":"1634","article-title":"User device interaction prediction via relational gated graph attention network and intent-aware encoder","volume-title":"Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (AAMAS)","author":"Xiao"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3610906"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3580890"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671708"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2019.8885534"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIIC48513.2020.9064976"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN.2017.7899588"},{"key":"ref19","first-page":"571","article-title":"HorusEye: A realtime IoT malicious traffic detection framework using programmable switches","volume-title":"32nd USENIX Security Symposium (USENIX Security 23)","author":"Dong"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2895334"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SPW.2019.00019"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"108658","DOI":"10.1016\/j.comnet.2021.108658","article-title":"Mffusion: A multi-level features fusion model for malicious traffic detection based on deep learning","volume":"202","author":"Lin","year":"2022","journal-title":"Computer Networks"},{"key":"ref23","article-title":"A labeled dataset with malicious and benign iot network traffic","author":"Parmisano","year":"2020","journal-title":"Stratosphere Laboratory: Praha, Czech Republic"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2018.23204"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/SRDS55811.2022.00029"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.107756"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00936"},{"key":"ref28","article-title":"Rigid-motion scattering for texture classification","author":"Sifre","year":"2014","journal-title":"arXiv preprint"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"ref31","article-title":"Branchynet: Fast inference via early exiting from deep neural networks","author":"Teerapittayanon","year":"2017"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v35i11.17225","article-title":"Harmonized dense knowledge distillation training for multi-exit architectures","volume-title":"AAAI Conference on Artificial Intelligence","author":"Wang"},{"key":"ref33","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00850"},{"key":"ref35","author":"Gao","year":"2018","journal-title":"Dynamic channel pruning: Feature boosting and suppression"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.ins.2023.01.067","article-title":"Fuzzy logic-based ddos attacks and network traffic anomaly detection methods: Classification, overview, and future perspectives","volume":"626","author":"Javaheri","year":"2023","journal-title":"Information Sciences"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2017.8126009"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2017.96"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737507"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512217"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583227"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN.2017.7899588"},{"key":"ref43","author":"Huang","year":"2017","journal-title":"Multi-scale dense networks for resource efficient image classification"},{"key":"ref44","author":"Liu","year":"2018","journal-title":"Darts: Differentiable architecture search"},{"key":"ref45","author":"Yang","year":"2019","journal-title":"Condconv: Conditionally parameterized convolutions for efficient inference"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.01104"},{"key":"ref47","article-title":"Efficient estimation of word representations in vector space","volume-title":"Proceedings of the 1st International Conference on Learning Representations","author":"Mikolov","year":"2013"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_9"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00716"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00206"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_32"},{"key":"ref52","article-title":"Smash: Oneshot model architecture search through hypernetworks","volume-title":"International Conference on Learning Representations","author":"Brock"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00189"},{"key":"ref54","article-title":"Channel gating neural networks","author":"Hua","year":"2019","journal-title":"in Neural Information Processing Systems"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/SPW53761.2021.00009"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.5220\/0006639801080116"},{"key":"ref57","first-page":"1","article-title":"MNN: A universal and efficient inference engine","volume-title":"Proceedings of Machine Learning and Systems. mlsys.org","author":"Jiang"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108267"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ISI.2017.8004872"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2747560"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2018.00178"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/1879141.1879175"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/1644893.1644918"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.277"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155278"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/2656877.2656890"}],"event":{"name":"2024 IEEE 32nd International Conference on Network Protocols (ICNP)","location":"Charleroi, Belgium","start":{"date-parts":[[2024,10,28]]},"end":{"date-parts":[[2024,10,31]]}},"container-title":["2024 IEEE 32nd International Conference on Network Protocols (ICNP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10858485\/10858498\/10858520.pdf?arnumber=10858520","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,5]],"date-time":"2025-02-05T18:44:45Z","timestamp":1738781085000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10858520\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":66,"URL":"https:\/\/doi.org\/10.1109\/icnp61940.2024.10858520","relation":{},"subject":[],"published":{"date-parts":[[2024,10,28]]}}}