{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T16:53:44Z","timestamp":1782924824676,"version":"3.54.5"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,5,24]],"date-time":"2026-05-24T00:00:00Z","timestamp":1779580800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,24]],"date-time":"2026-05-24T00:00:00Z","timestamp":1779580800000},"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":[[2026,5,24]]},"DOI":"10.23919\/ifipnetworking70592.2026.11578962","type":"proceedings-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T21:15:34Z","timestamp":1782854134000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["E2D2: A Modular Framework for Explanation-Based Drift Detection in Unsupervised Network Intrusion Detection"],"prefix":"10.23919","author":[{"given":"Beny","family":"Nugraha","sequence":"first","affiliation":[{"name":"Chemnitz University of Technology,Chair of Communication Networks,Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Bauschert","sequence":"additional","affiliation":[{"name":"Chemnitz University of Technology,Chair of Communication Networks,Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2015.11.016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2018.23204"},{"key":"ref3","article-title":"Auto-encoding variational bayes","volume-title":"Proceedings of the International Conference on Learning Representations (ICLR)","author":"Kingma"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2523813"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.108239"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CSNet67572.2025.11288255"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.109143"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972771.42"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2025.110145"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2023.040235"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557257"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2248094"},{"key":"ref13","first-page":"2327","article-title":"Cade: Detecting and explaining concept drift samples for security applications","volume-title":"Proceedings of the 30th USENIX Security Symposium","author":"Yang"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s12243-025-01118-9"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3321\/j.issn:0529-6579.2007.z1.029"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CNS.2019.8802833"},{"key":"ref17","first-page":"3319","article-title":"Axiomatic attribution for deep networks","volume-title":"Proceedings of the 34th International Conference on Machine Learning (ICML)","volume":"70","author":"Sundararajan"},{"key":"ref18","first-page":"3145","article-title":"Learning important features through propagating activation differences","volume-title":"Proceedings of the 34th International Conference on Machine Learning (ICML)","author":"Shrikumar"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/a18070443"},{"key":"ref20","author":"Smilkov","year":"2017","journal-title":"Smoothgrad: Removing noise by adding noise"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CCST.2019.8888419"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/s23135941"},{"key":"ref23","author":"Samarakoon","year":"2022","journal-title":"5g-nidd: A comprehensive network intrusion detection dataset generated over 5g wireless network"},{"key":"ref24","article-title":"An information-theoretic approach to detecting changes in multidimensional data streams","volume-title":"Proceedings of the 38th Symposium on the Interface of Statistics, Computing Science, and Applications","author":"Dasu"}],"event":{"name":"2026 IFIP Networking Conference (IFIP Networking)","location":"Lugano, Switzerland","start":{"date-parts":[[2026,5,24]]},"end":{"date-parts":[[2026,5,27]]}},"container-title":["2026 IFIP Networking Conference (IFIP Networking)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11578949\/11578438\/11578962.pdf?arnumber=11578962","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T16:12:55Z","timestamp":1782922375000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11578962\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,24]]},"references-count":24,"URL":"https:\/\/doi.org\/10.23919\/ifipnetworking70592.2026.11578962","relation":{},"subject":[],"published":{"date-parts":[[2026,5,24]]}}}