{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T15:40:14Z","timestamp":1772206814079,"version":"3.50.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"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":[[2020,10]]},"DOI":"10.1109\/rivf48685.2020.9140751","type":"proceedings-article","created":{"date-parts":[[2020,7,15]],"date-time":"2020-07-15T21:32:06Z","timestamp":1594848726000},"page":"1-3","source":"Crossref","is-referenced-by-count":25,"title":["Active Learning for Intrusion Detection Systems"],"prefix":"10.1109","author":[{"given":"Quang-Vinh","family":"Dang","sequence":"first","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2895334"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2780250"},{"key":"ref12","article-title":"Intelligent and improved self-adaptive anomaly based intrusion detection system for networks","volume":"11","author":"chiba","year":"2019","journal-title":"IJCNIS"},{"key":"ref13","first-page":"255","article-title":"Anomaly detection over noisy data using learned probability distributions","author":"eskin","year":"2000","journal-title":"ICML"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2013.052213.00046"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref16","article-title":"Outlier detection on network flow analysis","author":"dang","year":"2018","journal-title":"CoRR"},{"key":"ref17","author":"settles","year":"2009","journal-title":"Active Learning Literature Survey"},{"key":"ref18","article-title":"Active learning for network intrusion detection","author":"ziai","year":"2019","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3844\/jcssp.2018.1155.1173"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2896380"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/967900.967989"},{"key":"ref5","article-title":"Using decision trees to improve signature-based intrusion detection","author":"kr\u00fcgel","year":"2003","journal-title":"RAID ser LNCS"},{"key":"ref8","first-page":"48:1","article-title":"A survey of random forest based methods for intrusion detection systems","volume":"51","author":"resende","year":"2018","journal-title":"ACM Comput Surv"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1167253.1167288"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CSCloud.2017.58"},{"key":"ref1","first-page":"411426","article-title":"Studying machine learning techniques for intrusion detection systems","volume":"11814","author":"dang","year":"2019","journal-title":"FDSE ser LNCS"},{"key":"ref9","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref20","first-page":"1","article-title":"Query learning strategies using boosting and bagging","author":"abe","year":"1998","journal-title":"ICML"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/NETSOFT.2018.8459961"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2011.12.012"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom.2016.0043"}],"event":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","location":"Ho Chi Minh, Vietnam","start":{"date-parts":[[2020,10,14]]},"end":{"date-parts":[[2020,10,15]]}},"container-title":["2020 RIVF International Conference on Computing and Communication Technologies (RIVF)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9138608\/9140725\/09140751.pdf?arnumber=9140751","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:51:17Z","timestamp":1656453077000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9140751\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/rivf48685.2020.9140751","relation":{},"subject":[],"published":{"date-parts":[[2020,10]]}}}