{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T17:16:32Z","timestamp":1778001392616,"version":"3.51.4"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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":[[2019,12]]},"DOI":"10.1109\/bigdata47090.2019.9006304","type":"proceedings-article","created":{"date-parts":[[2020,2,25]],"date-time":"2020-02-25T01:05:34Z","timestamp":1582592734000},"page":"3232-3241","source":"Crossref","is-referenced-by-count":1,"title":["Worth the Wait? Time Window Feature Optimization for Attack Classification"],"prefix":"10.1109","author":[{"given":"Casey","family":"Wilson","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xenia","family":"Mountrouidou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"Little","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Data mining approaches for intrusion detection","author":"lee","year":"1998","journal-title":"Proceedings of the 7th Conference on USENIX Security Symposium - Volume 7 ser SSYM&#x2019;98"},{"key":"ref32","year":"0","journal-title":"Suricata I open source ids \/ ips \/ nsm engine"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/S1389-1286(99)00112-7"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2016.2519914"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.05.029"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2005.01.014"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/SAINT.2003.1183050"},{"key":"ref10","first-page":"1157","article-title":"An introduction of variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"Journal of Machine Learning Research Special Issue on Variable Selection"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","article-title":"Wrappers for feature subset selection","volume":"97","author":"kohavi","year":"0","journal-title":"Artificial Intelligence"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5120\/17447-5392"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/1687-1499-2013-271"},{"key":"ref14","author":"mallat","year":"1999","journal-title":"A Wavelet Tour of Signal Processing"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.4310\/CMS.2003.v1.n4.a5"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/aic.10106"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24797-2_2"},{"key":"ref18","first-page":"1","article-title":"Learning representations by back-propagating errors","volume":"5","author":"rumelhart","year":"1988","journal-title":"Cognitive Modeling"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2836950"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1167253.1167288"},{"key":"ref4","author":"koerner","year":"0","journal-title":"Inside the cyberattack that shocked the us government"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2006.01.022"},{"key":"ref3","author":"haury","year":"0","journal-title":"10 Of The Most Costly Computer Viruses Of All Time"},{"key":"ref6","first-page":"229","article-title":"Snort - lightweight intrusion detection for networks","author":"roesch","year":"1999","journal-title":"Proceedings of the 13th USENIX Conference on System Administration Ser LISA '99"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2011.01.002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2012.09.004"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2004.09.008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2008.08.003"},{"key":"ref2","first-page":"1093","article-title":"Understanding the mirai botnet","author":"antonakakis","year":"2017","journal-title":"26th USENIX Security Symposium (USENIX Security 17)"},{"key":"ref9","first-page":"1205","article-title":"Efficient feature selection via analysis of relevance and redundancy","volume":"5","author":"yu","year":"2004","journal-title":"Journal of Machine Learning Research"},{"key":"ref1","first-page":"390","article-title":"A survey on various cyber attacks and their classification","volume":"15","author":"uma","year":"2013","journal-title":"International Journal of Network Security"},{"key":"ref20","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref22","author":"archive","year":"1999","journal-title":"KDD Cup 1999 data"},{"key":"ref21","author":"wilson","year":"0","journal-title":"Github repository (code and data)"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1016\/S1389-1286(00)00139-0","article-title":"The 1999 darpa offline intrusion detection evaluation","volume":"34","author":"haines","year":"2000","journal-title":"Computer Networks"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/382912.382923"},{"key":"ref26","article-title":"Selecting features for intrusion detection: A feature relevance analysis on kdd 99","author":"kayacik","year":"2005","journal-title":"PST"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MilCIS.2015.7348942"}],"event":{"name":"2019 IEEE International Conference on Big Data (Big Data)","location":"Los Angeles, CA, USA","start":{"date-parts":[[2019,12,9]]},"end":{"date-parts":[[2019,12,12]]}},"container-title":["2019 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8986695\/9005444\/09006304.pdf?arnumber=9006304","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T17:54:33Z","timestamp":1658080473000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9006304\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/bigdata47090.2019.9006304","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}