{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T15:49:36Z","timestamp":1771516176239,"version":"3.50.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004541","name":"Technical Education Quality Improvement Project III (TEQIP III) of the Ministry of Human Resource Development (MHRD), Government of India, assisted by the World Bank","doi-asserted-by":"publisher","award":["P154523"],"award-info":[{"award-number":["P154523"]}],"id":[{"id":"10.13039\/501100004541","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3028690","type":"journal-article","created":{"date-parts":[[2020,10,5]],"date-time":"2020-10-05T21:06:43Z","timestamp":1601932003000},"page":"181916-181929","source":"Crossref","is-referenced-by-count":116,"title":["Hyperband Tuned Deep Neural Network With Well Posed Stacked Sparse AutoEncoder for Detection of DDoS Attacks in Cloud"],"prefix":"10.1109","volume":"8","author":[{"given":"Aanshi","family":"Bhardwaj","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8538-9670","authenticated-orcid":false,"given":"Veenu","family":"Mangat","sequence":"additional","affiliation":[]},{"given":"Renu","family":"Vig","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2977007"},{"key":"ref38","author":"patterson","year":"2017","journal-title":"Deep learning a practitioner&#x2019;s approach"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.10.015"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9013450"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/app9163414"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.icte.2018.01.014"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001350"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2019.101645"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2020.107390"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2019.107042"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2019.05.016"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2019.06.013"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1111\/coin.12220"},{"key":"ref2","year":"2020","journal-title":"AWS Said it Mitigated a 2 3 Tbps DDoS Attack the Largest Ever"},{"key":"ref1","year":"2019","journal-title":"Cloud Attack Economic Denial of Sustainability (EDoS)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966342"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/AINS.2017.8270429"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2762418"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.01.095"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2869577"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2017.2772792"},{"key":"ref25","first-page":"42","article-title":"Cuckoo optimisation based intrusion detection system for cloud computing","volume":"10","author":"singh","year":"2018","journal-title":"Int J Commun Netw Inf Secur"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/COMSNETS.2019.8711258"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM.2018.8599738"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/MilCIS.2015.7348942"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2870658"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2922196"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105124"},{"key":"ref15","year":"2018","journal-title":"How Much Data Is Generated Every Minute? [Infographic]"},{"key":"ref16","first-page":"172","article-title":"A detailed analysis of the CICIDS2017 data set","author":"sharafaldin","year":"2018","journal-title":"Proc Int Conf Inf Secur Privacy"},{"key":"ref17","year":"2020"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.4108\/eai.3-12-2015.2262516"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2017.8280825"},{"key":"ref4","year":"2019","journal-title":"Academic Research Reports Nearly 30 000 DoS Attacks Per Day"},{"key":"ref3","year":"2019","journal-title":"Wikipedia Goes Offline Following DDoS Attack"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/UBMK.2017.8093526"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.09.063"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/Trustcom\/BigDataSE\/ICESS.2017.221"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CSE-EUC.2017.109"},{"key":"ref49","article-title":"Adaptive gradient methods with dynamic bound of learning rate","author":"luo","year":"2019","journal-title":"arXiv 1902 09843"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2019.01.002"},{"key":"ref46","first-page":"45","article-title":"Min max normalization based data perturbation method for privacy protection","volume":"2","author":"jain","year":"2011","journal-title":"Int J of Computer and Communication Technology"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/NCA.2016.7778603"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.038"},{"key":"ref47","year":"2017","journal-title":"Autoencoders (Draft Version 0 7 2)"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2402161"},{"key":"ref41","year":"2019","journal-title":"Center for applied internet data analysis"},{"key":"ref44","first-page":"40","article-title":"Creation of flow-based data sets for intrusion detection","volume":"16","author":"ring","year":"2017","journal-title":"J Info Warfare"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/S1389-1286(00)00139-0"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09212425.pdf?arnumber=9212425","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:22Z","timestamp":1639770982000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9212425\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3028690","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}