An Anomaly Detection System Based on Clustering and Fuzzy Set Theory in VANETs

Author(s):  
Marjan Kuchaki Rafsanjani ◽  
Hamideh Fatemidokht ◽  
Valentina Emilia Balas ◽  
Ranbir Singh Batth
Author(s):  
Himal Chitara ◽  
Prof. Raksha K Patel ◽  
Prof. Tejas V Bhatt ◽  

2021 ◽  
Vol 2096 (1) ◽  
pp. 012007
Author(s):  
V B Vilkov ◽  
A I Dergachev ◽  
A K Chernykh ◽  
M S Abu-Khasan

Abstract We consider a problem formulated as a matrix game in which the gain of officials using a specific intrusion detection system (criminal actions) of intruders (player 1) is the probability of timely detection of these criminal actions (player 2). As a rule, it is not possible to unambiguously set the probability of timely detection of criminal actions, so it is proposed to use the apparatus of fuzzy set theory to evaluate it. Reviewed and discussed the basic concepts of fuzzy set theory, and an example of practical application of this theory to assess the efficiency of the detection system of criminal damage. Application of fuzzy set theory in assessing the possible actions of an attacker can detect existing vulnerabilities in information security of automated systems continue to spend improving the detection of criminal acts (hackers) to prevent the possibility of applying economic and other damage to the company.


2020 ◽  
Vol 265 ◽  
pp. 121779 ◽  
Author(s):  
Luiz Maurício Furtado Maués ◽  
Brisa do Mar Oliveira do Nascimento ◽  
Weisheng Lu ◽  
Fan Xue

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