Improving risk assessment model of cyber security using fuzzy logic inference system

Abstract

This paper describes the impacts of criminal activities based on the nature of the crime, the victim, and the basis (whether short-term or long-range/term) of the impacts of cybercrime on Internet. Recently many countries are facing numerous cyber threats including DoS (and DDoS), malware, website defamation, spam and phishing email attacks. Due to these cybercrimes evolution, identifying and assessing security risk is crucial to access data from new technologies, and also trying to understand how technologies can be abused. Therefore, there is a need to develop a special cyber security risk assessment model to tackle over these cyber threats. In this paper, we propose to utilize Fuzzy Inference Model (FIS) to produce risk assessment result based on the four risk factors which are: vulnerability, threat, likelihood and impact to specify the range of risks that can threaten any entity and try to solve such issues to proposed entities. We have performed various analyses on this factors and finally, our evaluation results show the viability of our proposed approach.