Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/9603
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLapina, M. A.-
dc.contributor.authorЛапина, М. А.-
dc.contributor.authorOrel, D. V.-
dc.contributor.authorОрел, Д. В.-
dc.date.accessioned2019-12-19T09:50:48Z-
dc.date.available2019-12-19T09:50:48Z-
dc.date.issued2019-
dc.identifier.citationBasan, E., Lapina, M., Orel, D. Host-based method and system for detecting anomalies in network traffic for a robotic system // CEUR Workshop Proceedings. - Volume 2500ru
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85075873437&origin=resultslist&sort=plf-f&src=s&st1=Host-based+method+and+system+for+detecting+anomalies+in+network+traffic+for&st2=&sid=a05f50191a441063ceb24ebdcfae79ac&sot=b&sdt=b&sl=90&s=TITLE-ABS-KEY%28Host-based+method+and+system+for+detecting+anomalies+in+network+traffic+for%29&relpos=1&citeCnt=0&searchTerm=-
dc.identifier.urihttp://hdl.handle.net/20.500.12258/9603-
dc.description.abstractThis study is devoted to the problem of detecting anomalous behavior of nodes of a robotic system based on network traffic analysis. This article addresses the issue of analyzing changes in the level of network traffic passing through a network node in order to detect denial of service attacks and a black hole attack. To solve this problem, the authors propose to use probabilistic and statistical methods, as well as methods of information theory. The robot wireless network model was developed to collect statisticsru
dc.language.isoenru
dc.publisherCEUR-WSru
dc.relation.ispartofseriesCEUR Workshop Proceedings-
dc.subjectAnomaly detectionru
dc.subjectInformation theoryru
dc.subjectRoboticsru
dc.subjectDenial-of-service attackru
dc.titleHost-based method and system for detecting anomalies in network traffic for a robotic systemru
dc.typeСтатьяru
vkr.instИнститут информационных технологий и телекоммуникаций-
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

Files in This Item:
File SizeFormat 
scopusresults 1133 .pdf
  Restricted Access
63.47 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.