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A Study on the Establishment of the IDS Using Machine Learning

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2019, 15(2), pp.121-128
  • DOI : 10.29056/jsav.2019.12.15
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : November 30, 2019
  • Accepted : December 20, 2019
  • Published : December 31, 2019

Kang Hyun Sun 1

1남서울대학교

Candidate

ABSTRACT

Computing systems have various vulnerabilities to cyber attacks. In particular, various cyber attacks that are intelligent in the information society have caused serious social problems and economic losses. Traditional security systems are based on misuse-based technology, which requires the continuous updating of new attack patterns and the real-time analysis of vast amounts of data generated by numerous security devices in order to accurately detect. However, traditional security systems are unable to respond through detection and analysis in real time, which can delay the recognition of intrusions and cause a lot of damage. Therefore, there is a need for a new security system that can quickly detect, analyze, and predict the ever-increasing cyber security threats based on machine learning and big data analysis models. In this paper, we present a IDS model that combines machine learning and big data technology.

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