{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T13:27:20Z","timestamp":1768310840812,"version":"3.49.0"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62227805"],"award-info":[{"award-number":["62227805"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62572437"],"award-info":[{"award-number":["62572437"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013064","name":"Key Research and Development Program of Zhejiang Province","doi-asserted-by":"publisher","award":["2023C01039"],"award-info":[{"award-number":["2023C01039"]}],"id":[{"id":"10.13039\/501100013064","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/ton.2025.3648394","type":"journal-article","created":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T18:23:17Z","timestamp":1766773397000},"page":"2430-2445","source":"Crossref","is-referenced-by-count":0,"title":["SOFA: Service-Oriented Fine-Grained Attack Traffic Detection With Meta Learning"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9037-2010","authenticated-orcid":false,"given":"Peng","family":"Fang","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feiyang","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1455-4330","authenticated-orcid":false,"given":"Ziming","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6087-8243","authenticated-orcid":false,"given":"Fan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9649-1499","authenticated-orcid":false,"given":"Wenrui","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3299519"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3311012"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tdsc.2023.3242134"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737622"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2016.2623950"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3460120.3484585"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3243862"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2024.3413789"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3127277"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/tdsc.2023.3245411"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3071441"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512217"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813654"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645407"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3083422"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3244810"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.11192"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24403"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2023.3238402"},{"issue":"9","key":"ref21","first-page":"1","article-title":"Traffic anomaly detection using k-means clustering","volume-title":"Proc. GI\/ITG Workshop MMBNet","volume":"7","author":"M\u00fcnz"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2023.23080"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2024.3391396"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3460976"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3283408"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN52240.2021.9522260"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2024.3481895"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2023.3332284"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3142820"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2022.102899"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN48656.2020.9016599"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/BigData59044.2023.10386602"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380090"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2991876"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3116085"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC50000.2020.9219734"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108117"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN54540.2023.10191496"},{"key":"ref39","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Finn"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_16"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICEIEC49280.2020.9152261"},{"key":"ref42","first-page":"3637","article-title":"Matching networks for one shot learning","volume-title":"Proc. NeurIPS","volume":"29","author":"Vinyals"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_56"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2024.103762"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3437984.3458842"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134067"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2020.3036528"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2018.23204"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1002\/0470012382"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098144"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176343003"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134057"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2018.23198"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2022.24001"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3576915.3624396"},{"key":"ref57","first-page":"3971","article-title":"Dos and don\u2019ts of machine learning in computer security","volume-title":"Proc. USENIX Secur. Symp.","author":"Arp"},{"key":"ref58","volume-title":"Intrusion Detection Evaluation Dataset (CICIDS2017)","year":"2024"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CNS.2014.6997492"},{"key":"ref60","volume-title":"Cumulative Distribution Function","author":"Weisstein","year":"2024"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1137\/1037125"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN.2017.7899588"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2017.03.018"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CNS56114.2022.9947235"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/SPW53761.2021.00009"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/3486622.3493973"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2020.24412"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3690624.3709315"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1145\/3460120.3484758"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155278"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM52122.2024.10621290"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2025.3560045"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2023.3349180"},{"key":"ref74","article-title":"FreeMatch: Self-adaptive thresholding for semi-supervised learning","author":"Wang","year":"2022","journal-title":"arXiv:2205.07246"}],"container-title":["IEEE Transactions on Networking"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10723154\/11317935\/11316161.pdf?arnumber=11316161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T08:12:00Z","timestamp":1768291920000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11316161\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":74,"URL":"https:\/\/doi.org\/10.1109\/ton.2025.3648394","relation":{},"ISSN":["2998-4157"],"issn-type":[{"value":"2998-4157","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}