Title :
Detection of anomalies in data for monitoring of security components in the Internet of Things
Author :
Desnitsky, V.A. ; Kotenko, I.V. ; Nogin, S.B.
Author_Institution :
St. Petersburg Inst. for Inf. & Autom., St. Petersburg, Russia
Abstract :
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.
Keywords :
Internet of Things; information systems; monitoring; security of data; Internet of Things; IoT concept; data anomalies; information security threats; information systems; monitoring; security components; Intelligent sensors; Monitoring; Security; Sensor systems; Software; Temperature sensors; IoT system testing; anomaly detection; expert knowledge; information security; internet of things; security components;
Conference_Titel :
Soft Computing and Measurements (SCM), 2015 XVIII International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4673-6960-2
DOI :
10.1109/SCM.2015.7190452
