Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/9603
Title: Host-based method and system for detecting anomalies in network traffic for a robotic system
Authors: Lapina, M. A.
Лапина, М. А.
Orel, D. V.
Орел, Д. В.
Keywords: Anomaly detection;Information theory;Robotics;Denial-of-service attack
Issue Date: 2019
Publisher: CEUR-WS
Citation: Basan, E., Lapina, M., Orel, D. Host-based method and system for detecting anomalies in network traffic for a robotic system // CEUR Workshop Proceedings. - Volume 2500
Series/Report no.: CEUR Workshop Proceedings
Abstract: This 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 statistics
URI: https://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=
http://hdl.handle.net/20.500.12258/9603
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