{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T05:40:18Z","timestamp":1756273218189,"version":"3.44.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T00:00:00Z","timestamp":1754265600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T00:00:00Z","timestamp":1754265600000},"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":[[2025,8,4]]},"DOI":"10.1109\/csr64739.2025.11130109","type":"proceedings-article","created":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T19:04:27Z","timestamp":1756235067000},"page":"275-280","source":"Crossref","is-referenced-by-count":0,"title":["C2-based Malware Detection Through Network Analysis Using Machine Learning"],"prefix":"10.1109","author":[{"given":"Martin","family":"Martijan","sequence":"first","affiliation":[{"name":"Institute of Computer Science Vilnius University,Vilnius,Lithuania"}]},{"given":"Virgilijus","family":"Krinickij","sequence":"additional","affiliation":[{"name":"Institute of Computer Science Vilnius University,Vilnius,Lithuania"}]},{"given":"Linas","family":"Bukauskas","sequence":"additional","affiliation":[{"name":"Institute of Computer Science Vilnius University,Vilnius,Lithuania"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC50000.2020.9219561"},{"key":"ref2","article-title":"Entropy-based network traffic analysis for efficient ransomware detection","author":"Williams","year":"2024","journal-title":"Authorea Preprints"},{"key":"ref3","article-title":"New pca-based category encoder for cybersecurity and processing data in iot devices","author":"Farkhari","year":"2021","journal-title":"arXiv preprint arXiv:2111.14839"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MilCIS.2015.7348942"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-72802-1_9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.06.047"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s19204383"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CoDIT62066.2024.10708595"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/computers14030082"},{"key":"ref10","article-title":"Beyond random split for assessing statistical model performance","author":"Catania","year":"2022","journal-title":"arXiv preprint arXiv:2209.03346"},{"article-title":"IoT-23: A labeled dataset with malicious and benign IoT network traffic (Version 1.0.0)","year":"2020","author":"Garcia","key":"ref11"},{"article-title":"Cyber security report 2022","year":"2022","author":"Research","key":"ref12"},{"key":"ref13","article-title":"Malware landscape 2021","volume-title":"Tech. Rep. ICGTR-2021-01","author":"Aaron","year":"2021"},{"key":"ref14","article-title":"Sok: An essential guide for using malware sandboxes in security applications: Challenges, pitfalls, and lessons learned","author":"Alrawi","year":"2024","journal-title":"arXiv preprint arXiv:2403.16304"},{"key":"ref15","article-title":"Command & control: Understanding, denying and detecting","author":"Gardiner","year":"2014","journal-title":"arXiv preprint arXiv:1408.1136"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ISDFS.2019.8757555"},{"article-title":"Malware traffic analysis","year":"2025","author":"Smith","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2022.102810"},{"key":"ref19","article-title":"On generating and labeling network traffic with realistic, self-propagating malware","author":"Buchanan","year":"2021","journal-title":"arXiv preprint arXiv:2104.10034"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-022-01765-7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2008.923876"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ECAI52376.2021.9515039"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ISSPIT47144.2019.9001867"},{"issue":"12","key":"ref24","first-page":"258","article-title":"Network intrusion detection using naive bayes","volume":"7","author":"Panda","year":"2007","journal-title":"International journal of computer science and network security"}],"event":{"name":"2025 IEEE International Conference on Cyber Security and Resilience (CSR)","start":{"date-parts":[[2025,8,4]]},"location":"Chania, Crete, Greece","end":{"date-parts":[[2025,8,6]]}},"container-title":["2025 IEEE International Conference on Cyber Security and Resilience (CSR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11129696\/11129957\/11130109.pdf?arnumber=11130109","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T05:06:37Z","timestamp":1756271197000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11130109\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,4]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/csr64739.2025.11130109","relation":{},"subject":[],"published":{"date-parts":[[2025,8,4]]}}}