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  • 标题:Artificial intelligence approach to cyber security
  • 本地全文:下载
  • 作者:Jerome M Gumpy ; Ibrahim Goni ; Murtala Mohammad
  • 期刊名称:Archives of Applied Science Research
  • 印刷版ISSN:0975-508X
  • 出版年度:2020
  • 卷号:12
  • 期号:3
  • 页码:1-7
  • 语种:English
  • 出版社:Scholars Research Library
  • 摘要:Cyber security is a major concern of developed and developing countries due to the high rate of attack and threat to the cyber space. The purpose of this research work was to developed a fuzzy logic system for cyber security. Four inputs were used and three outputs were produced with their associated linguistic variables, Triangular angular membership function was used to implement the system. Fuzzy logic controller is behaving best on the linguistic variables used in the research that is special control, physical control, and denial of service, virus, and special software Trojan horse logic bomb and so on as applied to this research. These are the variables used in this work were rules are derived best on the cyber experts reasoning to cater the intruders.
  • 关键词:Cybersecurity;Fuzzy logic;Membership function;Linguistic variables
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