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A Fuzzy Rule-based System for Automatically Generating Customized Training Scenarios in Cyber Security

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2020, 25(8), pp.39-45
  • DOI : 10.9708/jksci.2020.25.08.039
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : May 4, 2020
  • Accepted : August 19, 2020
  • Published : August 31, 2020

Su Man Nam 1

1(주)두두아이티

Accredited

ABSTRACT

Despite the increasing interest in cyber security in recent years, the emergence of new technologies has led to a shortage of professional personnel to efficiently perform the cyber security. Although various methods such as cyber rage are being used to cultivate cyber security experts, there are problems of limitation of virtual training system, scenario-based practice content development and operation, unit content-oriented development, and lack of consideration of learner level. In this paper, we develop a fuzzy rule-based user-customized training scenario automatic generation system for improving user's ability to respond to infringement. The proposed system creates and provides scenarios based on advanced persistent threats according to fuzzy rules. Thus, the proposed system can improve the trainee's ability to respond to the bed through the generated scenario.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.