@article{2339,
  author = {Mansour Al-Ali, Ahmad AlMogren},
  title = {Fuzzy logic methodology for cyber security risk mitigation approach},
  journal = {Journal of Networking Technology},
  year = {2017},
  volume = {8},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jnt/fulltext/v8n3/jntv8n3_2.pdf},
  abstract = {This paper describes the impacts of criminal activates based on the nature of the crime, the victim, and the basis
(whether short-term or longrange) of the impacts of cybercrime. Saudi Arabia faces numerous cyber threats including DoS
(and DDoS), malware, website defamation, and spam and phishing email attacks. Although recent findings highlight the
poor state of Saudi Arabia’s information security system, it is within the current premise’s suggestion that the development of
a special cyber security risk assessment. Using Fuzzy Logic (FL) theory, we propose Fuzzy Inference Model (FIS) to produce
risk mitigation and try to solve such issues to proposed entities.},
}