دانلود مقاله ISI انگلیسی شماره 82245
ترجمه فارسی عنوان مقاله

بهبود مدل ارزیابی ریسک امنیت سایبر با استفاده از سیستم استنتاج منطقی فازی

عنوان انگلیسی
Improving risk assessment model of cyber security using fuzzy logic inference system
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
82245 2018 27 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computers & Security, Volume 74, May 2018, Pages 323-339

ترجمه کلمات کلیدی
امنیت سایبری، جرایم اینترنتی، مدل ارزیابی ریسک، استنتاج منطقی فازی، ارزیابی عوامل خطر،
کلمات کلیدی انگلیسی
Cyber security; Cybercrime; Risk assessment model; Fuzzy logic inference; Risk factors evaluation;
پیش نمایش مقاله
پیش نمایش مقاله  بهبود مدل ارزیابی ریسک امنیت سایبر با استفاده از سیستم استنتاج منطقی فازی

چکیده انگلیسی

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.