Detection of Anomalies in Data for Monitoring of Security Components in the Internet of Things

被引：0
|
作者：
Desnitsky, V. A. [1 ]
Kotenko, I. V. [1 ]
Nogin, S. B. [2 ]
机构：
[1] Russian Acad Sci, St Petersburg Inst Informat & Automat, Moscow 117901, Russia
[2] ZAO NPP TELDA, St Petersburg, Russia
来源：
2015 XVIII INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND MEASUREMENTS (SCM) | 2015年
关键词：
internet of things; information security; anomaly detection; IoT system testing; expert knowledge; security components;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The increasing urgency and expansion of information systems implementing the Internet of Things (IoT) concept determine the importance of the investigation in the field of protection mechanisms against a wide range of information security threats. The increased complexity of such investigation is determined by a low structuring and formalization of expert knowledge on IoT systems. The paper encompasses an approach to elicitation and use of expert knowledge on detection of anomalies in data as well as their usage as an input for automated means aimed at monitoring security components of IoT.
引用
收藏
页码：189 / 192
页数：4
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