Fuzzy Sets in Problems of Identification of Attacks on Wireless Sensor Networks

被引：0
作者：
Desnitsky, Vasily A. [1 ]
Kotenko, Igor, V [1 ]
Parashchuk, Igor B. [1 ]
机构：
[1] Russian Acad Sci, St Petersburg Fed Res Ctr, St Petersburg Inst Informat & Automat, SPIIRAS, St Petersburg, Russia
来源：
PROCEEDINGS OF THE 2021 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (ELCONRUS) | 2021年
基金：
俄罗斯基础研究基金会;
关键词：
fuzzy sets; wireless sensor networks; fuzzy and linguistic variables; security; attacks; identification;
D O I：
10.1109/ElConRus51938.2021.9396712
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The article discusses an approach to describing and identifying signs of computer attacks on wireless sensor networks. The approach is based on a method for solving problems of identifying objects and processes in the conditions of fuzziness of their observable features. The method is focused on eliminating fuzziness (as one of the types of uncertainty) in identifying multistage attacks on networks of this class. It is based on the use of fuzzy and linguistic variables when processing fuzzy knowledge about the characteristics of potential attacks. This makes it possible to increase the reliability (objectivity) of the security control of modern systems and networks of the Internet of Things, where the advantages of wireless sensor networks have found unconditional application.
引用
收藏
页码：290 / 293
页数：4
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