{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T16:38:56Z","timestamp":1781973536371,"version":"3.54.5"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T00:00:00Z","timestamp":1757894400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T00:00:00Z","timestamp":1757894400000},"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":[[2025,9,15]]},"DOI":"10.1109\/cscn67557.2025.11230733","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:39Z","timestamp":1763145999000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["IIoT-TinyDNN: A Lightweight Intrusion Detection System for Edge-Based IIoT Security"],"prefix":"10.1109","author":[{"given":"Amer","family":"A.Abualhassan","sequence":"first","affiliation":[{"name":"King Fahd University of Petroleum and Minerals,Computer Engineering Department,Dhahran,Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaseen","family":"Fadol","sequence":"additional","affiliation":[{"name":"University of Science and Technology,Department of Communication Systems Engineering,Omdurman,Sudan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed S. M.","family":"Gismalla","sequence":"additional","affiliation":[{"name":"South East Technological University,Department of Engineering Technology,Waterford,Ireland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mosab","family":"Hamdan","sequence":"additional","affiliation":[{"name":"National College of Ireland,School of Computing,Dublin,Ireland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3554083"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3555802"},{"key":"ref3","article-title":"Prune2edge: A multi-phase pruning pipelines to deep ensemble learning in iiot","author":"Alhalabi","year":"2021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2024.3428531"},{"issue":"382","key":"ref5","article-title":"An adaptive hybrid framework for iiot intrusion detection using neural networks and feature optimization using genetic algorithms","volume-title":"Discover Sustainability","volume":"6","author":"Khan","year":"2025"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2024.104146"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2022.100670"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/OJCS.2025.3576495"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-61746-2_14"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.26599\/BDMA.2022.9020038"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2025.105172"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.15388\/22-INFOR505"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MCAS.2020.3005467"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.1109\/ACCESS.2024.3437192","article-title":"On tinyml and cybersecurity: electric vehicle charging infrastructure use case","author":"Dehrouyeh","year":"2024"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-87769-8_34"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3165809"},{"key":"ref17","article-title":"Ton_iot datasets: The new generation of iot and iiot datasets for ai-based cybersecurity applications","author":"Moustafa","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05918-7_20"},{"key":"ref19","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","volume":"28","author":"Han","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref20","first-page":"129","article-title":"What is the state of neural network pruning?","volume-title":"Proceedings of Machine Learning and Systems","volume":"2","author":"Blalock"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.15439\/2023F6021"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICTC55196.2022.9952903"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3583855"},{"key":"ref24","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"Han","year":"2015"}],"event":{"name":"2025 IEEE Conference on Standards for Communications and Networking (CSCN)","location":"Bologna, Italy","start":{"date-parts":[[2025,9,15]]},"end":{"date-parts":[[2025,9,17]]}},"container-title":["2025 IEEE Conference on Standards for Communications and Networking (CSCN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11230662\/11230587\/11230733.pdf?arnumber=11230733","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:35:21Z","timestamp":1763192121000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11230733\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,15]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/cscn67557.2025.11230733","relation":{},"subject":[],"published":{"date-parts":[[2025,9,15]]}}}