Autors: Trifonov, R. I., Tsochev, G. R., Slavcho Manolov., Radoslav Yoshinov., Pavlova, G. V.
Title: A SURVEY OF ARTIFICIAL INTELLIGENCE FOR ENHANCING THE INFORMATION SECURITY
Keywords: Intrusion detection/prevention systems, Artificial intellige

Abstract: The analysis of the latest trends of threats to different types of attacks adequately reflects the radical changes over the last three or four years in the landscape of cyber-threat protection. The conventional network protection tools such as penetration detection and anti-virus focusing on the risk vulnerability component and traditional incident response methodology have become inadequate for certain players due to the evolution of the goals and complexity of the entry of computer networks. Therefore, the fight against them can happen with intelligent semi-autonomous or wholly autonomous agents that can detect, evaluate, and respond with the appropriate protection action. These intelligent methods will need to be able to manage the entire process in response to an attack. It is based on artificial intelligence and the use of its methods to protect from cybercrimes. The aim of this study is to present and compare different methods of artificial intelligence for fighting the crime in

References

    Issue

    International Journal of Development Research, vol. 7, issue 11, pp. 16866-16872, 2017, India, ISSN 2230-9926

    Copyright International Journal of Development Research

    Цитирания (Citation/s):
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    Вид: статия в списание, публикация в реферирано издание, индексирана в Google Scholar