{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T06:34:47Z","timestamp":1781332487596,"version":"3.54.1"},"reference-count":15,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2018,2,1]],"date-time":"2018-02-01T00:00:00Z","timestamp":1517443200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Commun. Mag."],"published-print":{"date-parts":[[2018,2]]},"DOI":"10.1109\/mcom.2018.1700332","type":"journal-article","created":{"date-parts":[[2018,2,13]],"date-time":"2018-02-13T19:19:32Z","timestamp":1518549572000},"page":"169-175","source":"Crossref","is-referenced-by-count":341,"title":["Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing"],"prefix":"10.1109","volume":"56","author":[{"given":"Abebe","family":"Abeshu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naveen","family":"Chilamkurti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","first-page":"21","article-title":"A Deep Learning Approach for Network Intrusion Detection System","author":"quamar","year":"0","journal-title":"BICT 15 Proc 9th EAI Int'l Conf Bio-Inspired Information and Commun Tech"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2016.7504089"},{"key":"ref12","article-title":"Anomaly Detection Using Auto-encoders with Nonlinear Dimensionality Reduction","author":"mayu","year":"0","journal-title":"Proc 2014 2nd Wksp Machine Learning for Sensory Data Analysis"},{"key":"ref13","article-title":"Adaptive Anomalies Detection with DeepNetwork","author":"chao","year":"0","journal-title":"COGNITIVE 2015 7th Int'l Conf Advanced Cognitive Technologies and Applications"},{"key":"ref14","first-page":"1","author":"yan","year":"2014","journal-title":"On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors A Deep Learning Approach"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.14257\/ijsia.2015.9.5.21"},{"key":"ref4","author":"caspi","year":"0","journal-title":"Introducing Deep Learning Boosting Cybersecurity withAn Artificial Brain"},{"key":"ref3","author":"wang","year":"0","journal-title":"The Applications of Deep Learning on Traffic Identification"},{"key":"ref6","first-page":"1","article-title":"Lightweight Cybersecurity Schemes Using Elliptic Curve Cryptography in Publish-Subscribe Fog Computing","volume":"22","author":"abebe","year":"2017","journal-title":"J Mobile Netw Appl"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.3485"},{"key":"ref8","volume":"16","author":"costa","year":"2016","journal-title":"A Methodological Approach for Assessing Amplified Reflection Distributed Denial of Service on the Internet of Things"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CISDA.2009.5356528"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/WINCOM.2016.7777224"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.14257\/ijsia.2015.9.5.21"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2017.7925567"}],"container-title":["IEEE Communications Magazine"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/35\/8291037\/08291134.pdf?arnumber=8291134","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:09:39Z","timestamp":1642003779000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8291134\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2]]},"references-count":15,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/mcom.2018.1700332","relation":{},"ISSN":["0163-6804"],"issn-type":[{"value":"0163-6804","type":"print"}],"subject":[],"published":{"date-parts":[[2018,2]]}}}