{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T05:30:56Z","timestamp":1747805456062,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"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":[[2021,12,13]]},"DOI":"10.1109\/pst52912.2021.9647771","type":"proceedings-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T16:08:01Z","timestamp":1640102881000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Securing Critical Infrastructure Through Innovative Use Of Merged Hierarchical Deep Neural Networks"],"prefix":"10.1109","author":[{"given":"Lav","family":"Gupta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"35365","DOI":"10.1109\/ACCESS.2018.2836950","article-title":"Machine Learning and Deep Learning Methods for Cybersecurity","volume":"6","author":"xin","year":"2018","journal-title":"IEEE Access"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ATNAC.2018.8615294"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2869577"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2017.2772792"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2895334"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASI.2018.8394474"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2018.8376973"},{"key":"ref17","article-title":"HYPERVINES: A Hybrid Learning Fault and Performance Issues Eradicator for Virtual Network Services over Multi-Cloud Systems","author":"gupta","year":"2019","journal-title":"IEEE ICNC"},{"journal-title":"Internet of Things (IoT) security architecture","year":"2018","author":"shahan","key":"ref18"},{"key":"ref19","article-title":"Hierarchical Deep Learning for Cybersecurity of Critical Service Systems","author":"gupta","year":"2018","journal-title":"accepted for presentation in IEEE World Conference on Smart Trends in Systems Security & Sustainabililty"},{"journal-title":"National Protection and Programs Directorate Office Of Cyber And Infrastructure Analysis","article-title":"Department of homeland security","year":"2017","key":"ref4"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3051158"},{"journal-title":"Arun Chandrashekran Sid Nag David Wright Gartner Research","article-title":"Cool Vendors in Cloud Computing","year":"0","key":"ref3"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CBD51900.2020.00051"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/fi11060127"},{"journal-title":"Checkpoint Software Technologies Cloud Security Report","article-title":"The Biggest Cloud Security Challenges in 2021","year":"0","key":"ref5"},{"journal-title":"But Here&#x2019;s How It Can Help Bernard Brode Richard Seroter]","article-title":"InfoQ Feb 2021 AI No Silver Bullet for Cloud Security","year":"0","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/WorldS450073.2020.9210361"},{"journal-title":"Accenture March 2021 25 cloud trends for 2021 and beyond","year":"0","key":"ref2"},{"journal-title":"Cloud Computing Statistics Facts and Trends for 2021","year":"2021","key":"ref1"},{"journal-title":"Autoencoders","article-title":"UFLDL Tutorial","year":"2020","key":"ref9"},{"article-title":"Machine Learning Techniques for Intrusion Detection","year":"2015","author":"zamani","key":"ref20"},{"key":"ref22","first-page":"1","article-title":"Measuring the Effects of Data Parallelism on Neural Network Training","volume":"20","author":"shallue","year":"2019","journal-title":"Journal of Machine Learning Research"},{"journal-title":"Parallel and Distributed Deep Learning Vishakh Hegde Stanford University vishakh stanford edu Sheema Usmani Stanford University","year":"0","key":"ref21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.05.041"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3062721"},{"key":"ref26","first-page":"1","article-title":"A deep auto-encoder based approach for intrusion detection system","author":"farahnakian","year":"2018","journal-title":"International Conference on Advanced Communication Technology (ICACT)"},{"key":"ref25","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"ICLRE"}],"event":{"name":"2021 18th International Conference on Privacy, Security and Trust (PST)","start":{"date-parts":[[2021,12,13]]},"location":"Auckland, New Zealand","end":{"date-parts":[[2021,12,15]]}},"container-title":["2021 18th International Conference on Privacy, Security and Trust (PST)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9647713\/9647738\/09647771.pdf?arnumber=9647771","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:59:51Z","timestamp":1652187591000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9647771\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,13]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/pst52912.2021.9647771","relation":{},"subject":[],"published":{"date-parts":[[2021,12,13]]}}}