{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T19:42:49Z","timestamp":1770320569080,"version":"3.49.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T00:00:00Z","timestamp":1767916800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T00:00:00Z","timestamp":1767916800000},"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":[[2026,1,9]]},"DOI":"10.1109\/ccnc65079.2026.11366516","type":"proceedings-article","created":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T20:45:15Z","timestamp":1770237915000},"page":"1-4","source":"Crossref","is-referenced-by-count":0,"title":["Dual-Layer Intrusion Detection for EVSE Networks: A TinyML-Driven Security Framework"],"prefix":"10.1109","author":[{"given":"Gowtham Raj","family":"Rachakonda","sequence":"first","affiliation":[{"name":"North Carolina A&T State University,Department of Computer Science,Greensboro,NC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Madhuri","family":"Siddula","sequence":"additional","affiliation":[{"name":"North Carolina A&T State University,Department of Computer Science,Greensboro,NC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Om Prakash","family":"Yadav","sequence":"additional","affiliation":[{"name":"North Carolina A&T State University,Department of Industrial and Systems Engineering,Greensboro,NC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olusola","family":"Odeyomi","sequence":"additional","affiliation":[{"name":"North Carolina A&T State University,Department of Computer Science,Greensboro,NC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohong","family":"Yuan","sequence":"additional","affiliation":[{"name":"North Carolina A&T State University,Department of Computer Science,Greensboro,NC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Electric car sales, 2012-2024","year":"2024"},{"key":"ref2","article-title":"Electric vehicle charging infrastructure trends"},{"key":"ref3","article-title":"Feds to expand ev charging network, aim for 500k chargers by 2030","author":"Stafford","year":"2024"},{"key":"ref4","article-title":"Open charge point protocol (ocpp)","year":"2021"},{"key":"ref5","article-title":"Ocpp 1.6 specification white paper","year":"2020"},{"key":"ref6","volume-title":"Securing the electric vehicle charging infrastructure: An in-depth analysis of vulnerabilities and countermeasures","author":"Vailoces","year":"2023"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2024.3401090"},{"key":"ref8","article-title":"Putin-focused and other hacks of charging stations drive new cybersecurity steps for an ev boom","year":"2022"},{"key":"ref9","article-title":"Massive vehicle breach volkswagen ev","year":"2024"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1109\/ICC52391.2025.11161868","article-title":"Pruning-based tinyml optimization of machine learning models for anomaly detection in electric vehicle charging infrastructure","author":"Dehrouyeh","year":"2025"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3437192"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.20517\/ces.2025.04","article-title":"Federated detection of open charge point protocol 1.6 cyberattacks","author":"Dalamagkas","year":"2025"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3529526"},{"issue":"5","key":"ref14","article-title":"Online machine learning for intrusion detection in electric vehicle charging systems","volume-title":"Mathematics","volume":"13","author":"Makhmudov","year":"2025"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC61514.2024.10592352"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10825955"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1109\/PESGM52009.2025.11225831","article-title":"A kolmogorov-arnold network for explainable detection of cyberattacks on ev chargers","author":"Saber","year":"2025"},{"key":"ref18","volume-title":"Explainable deep learning for cyber attack detection in electric vehicle charging stations","author":"Rahman","year":"2025"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/09540091.2023.2227780"},{"key":"ref20","doi-asserted-by":"crossref","DOI":"10.2139\/ssrn.5179540","article-title":"Composite human activity recognition utilizing knowledge distillation and sensor fusion focusing on resource constrained microcontrollers","author":"Rafee","year":"2025"},{"key":"ref21","first-page":"62 414","article-title":"Pruning vs quantization: Which is better?","volume":"36","author":"Kuzmin","year":"2023","journal-title":"Advances in neural information processing systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1201\/9781003162810-13"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2022.3184448"},{"key":"ref24","article-title":"Federated ocpp 1.6 intrusion detection dataset","author":"Dalamagkas","year":"2025"},{"issue":"10","key":"ref25","article-title":"An improved mutual information feature selection technique for intrusion detection systems in the internet of medical things","volume-title":"Sensors","volume":"23","author":"Alalhareth","year":"2023"}],"event":{"name":"2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2026,1,9]]},"end":{"date-parts":[[2026,1,12]]}},"container-title":["2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11366253\/11366254\/11366516.pdf?arnumber=11366516","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T06:17:09Z","timestamp":1770272229000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11366516\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,9]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/ccnc65079.2026.11366516","relation":{},"subject":[],"published":{"date-parts":[[2026,1,9]]}}}