Quarterly journal published in SPbPU
and edited by prof. Dmitry Zegzhda
Peter the Great St. Petersburg Polytechnic University
Institute of computer sciences and technologies
information security of computer systems
Information Security Problems. Computer Systems
Published since 1999.
ISSN 2071-8217
METHODOLOGY FOR DETECTING ANOMALIES IN THE TRAFFIC OF THE INTERNET OF THINGS

T. M. Tatarnikova, A. V. Sverlikov
St. Petersburg State University of Aerospace Instrumentation
I.A. Sikarev
Russian State Hydrometeorological University

Annotation: It is shown that data protection technologies used in wired communication networks are not available for low-power devices of the Internet of things. Therefore, the search for an attack on IoT devices can be implemented by means of analyzing the traffic that carries the attack and, as a result, is classified as anomalous. A technique for searching for an anomaly in the network traffic of the Internet of things is proposed. A sequence of steps is considered to isolate a random component from the traffic generated by the IoT sensor devices, remaining after the exclusion of the main characteristics and which may contain an anomaly. The software implementation of the proposed technique can become part of the intrusion detection system for the Internet of things.
Keywords: Internet of things, anomalous traffic, data security, traffic analysis technique, intrusion detection system
Pages 51-57