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AI-Based CYBERSECURITY: Benefits and Limitations

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주제분류학제간연구

초록

Purpose: This study intends to examine the efficiency and limitations of AI-based cyber defense systems by applying game theory and to explore the direction of the development of an AI-based national cyber defense system. In cybersecurity attackers and defenders can choose strategies and make a decision based on their resources, to attain the rewards, while anticipating the actions from opposing players. Method: For better analysis, this article use Game theory an analytical framework to identify the position between the attacker and defender in the Cyber domain. Game theory has been used to observe competition among multiple competitors(players) fighting under pre-set rules. Game theory is appropriate for analyzing cyber interaction between defenders, attackers, and users and what happens as a result. Results: To respond to infringement incidents, first, for artificial intelligence to more efficiently detect and respond quickly to security threats, it is necessary to analyze vast amounts of security data with human experience and knowledge and enter accurate data for artificial intelligence to learn. Second, it is necessary to strengthen the self-learning ability of security solutions to apply signature analysis, behavior analysis technology, and machine learning technology to enable automated detection and response to AI-based cyber attacks. Conclusion: Although there are many limitations and risks of artificial intelligence, it is important to concern about how to use artificial intelligence usefully for the welfare and prosperity of mankind. First, cybersecurity is directly related to national security, and the government has to enhance an AI-based cybersecurity system. Second, to cope with increasingly diverse and evolving external cyber-attacks. Third, it is necessary to develop R & D investment and professional human resources to build an AI-based cybersecurity system. Fourth, it is required to overhaul related legal systems to strengthen AI-based cybersecurity. Although there are many limitations and risks of artificial intelligence, it is important to concern about how to use artificial intelligence usefully for the welfare and prosperity of mankind.

Abstract

Purpose: This study intends to examine the efficiency and limitations of AI-based cyber defense systems by applying game theory and to explore the direction of the development of an AI-based national cyber defense system. In cybersecurity attackers and defenders can choose strategies and make a decision based on their resources, to attain the rewards, while anticipating the actions from opposing players. Method: For better analysis, this article use Game theory an analytical framework to identify the position between the attacker and defender in the Cyber domain. Game theory has been used to observe competition among multiple competitors(players) fighting under pre-set rules. Game theory is appropriate for analyzing cyber interaction between defenders, attackers, and users and what happens as a result. Results: To respond to infringement incidents, first, for artificial intelligence to more efficiently detect and respond quickly to security threats, it is necessary to analyze vast amounts of security data with human experience and knowledge and enter accurate data for artificial intelligence to learn. Second, it is necessary to strengthen the self-learning ability of security solutions to apply signature analysis, behavior analysis technology, and machine learning technology to enable automated detection and response to AI-based cyber attacks. Conclusion: Although there are many limitations and risks of artificial intelligence, it is important to concern about how to use artificial intelligence usefully for the welfare and prosperity of mankind. First, cybersecurity is directly related to national security, and the government has to enhance an AI-based cybersecurity system. Second, to cope with increasingly diverse and evolving external cyber-attacks. Third, it is necessary to develop R & D investment and professional human resources to build an AI-based cybersecurity system. Fourth, it is required to overhaul related legal systems to strengthen AI-based cybersecurity. Although there are many limitations and risks of artificial intelligence, it is important to concern about how to use artificial intelligence usefully for the welfare and prosperity of mankind.

참고문헌 (22)

  1. 박상민, "사이버공격시 게임이론을 활용한 집단지성간전략결정 모델 연구 - 한수원 해킹사건을 중심으로 -", 정보보호학회논문지, 26(1), pp.237~246 (2016), 한국정보보호학회[DOI]
  2. 문재웅, "인공지능 기술 활용을 위한 사이버 국방 정보보호 시스템 분석", 디지털콘텐츠학회논문지, 21(5), pp.891~900 (2020), 한국디지털콘텐츠학회[DOI]
  3. 홍준혁, "인공지능기반 보안관제 구축 및 대응 방안", 한국콘텐츠학회 논문지, 21(1), pp.531~540 (2021), 한국콘텐츠학회[DOI]
  4. 윤정현, "인공지능과 블록체인의 도입이 사이버 안보의 공·수 비대칭 구도에 갖는 의미", 국제정치논총, 59(4), pp.45~82 (2019), 한국국제정치학회
  5. 배재권, "인공지능과 빅데이터 분석 기반 통합보안관제시스템 구축방안에 관한 연구", 로고스경영연구, 18(1), pp.151~165 (2020), 한국로고스경영학회[DOI]
  6. 이종관, "미래전과 국방 인공지능 체계", 한국통신학회논문지, 44(4), pp.782~790 (2019), 한국통신학회[DOI]
  7. Nah S, "Communicating Artificial Intelligence(AI): Theory, Research, and Practice", Communication Studies, 71(3), pp.369~372 (2020)
  8. The Abuse of AI Its Threats and Alternatives, "National Information Society Agency", National Information Society Agency, ~ (2018)
  9. Robert J, "Cooperation Under the Security Dilemma", World Politics, 30(2), pp.210~211 (1978)
  10. Coker C, "Artificial Intelligence and the Future of War", Scandinavian Journal of Military Studies, 2(1), pp.55~60 (2019)
  11. Yi Li, "The Advent of AI and Its Some Implications to MILITARY AFFAIRS", International Journal of Military Affairs, 5(1), pp.38~47 (2020), J-INSTITUTE
  12. Cuzzolin F, "Knowing Me, Knowing You: Theory of Mind in AI", Psychological Medicine, 50(7), pp.1057~1061 (2020)
  13. Thanh CT, "Artificial Intelligence in the Cyber Domain: Offense and Defense", Symmetry, 12(410), pp.1~24 (2020)
  14. Park Bo-seok, "Enterprise SECURITY Management for IoT Services Based on Event Correlation in Republic of KOREA", International Journal of Crisis & Safety, 3(1), pp.17~24 (2018), J-INSTITUTE
  15. 조성구, "Terrorism CRISIS on Northeast Asia", International Journal of Crisis & Safety, 5(1), pp.35~42 (2020), J-INSTITUTE
  16. 이재범, "Suggestions for Using AI in Preparation for a Super-Aging Society", Robotics & AI Ethics, 5(2), pp.57~64 (2020), J-INSTITUTE
  17. Hanh CT, "Artificial Intelligence in the Cyber Domain: Offense and Defense", Symmetry, 12(410), pp.14~15 (2020)
  18. Shabbir J, "Artificial Intelligence and its Role in Near Future", Journal of Later Class Files, 14(8), pp.1~11 (2015)
  19. Yeojin Lim, "Implications of Emotional Coaching and Integrated Art Therapy Teaching Method on Leadership Education in the AI Era", Robotics & AI Ethics, 5(2), pp.42~49 (2020), J-INSTITUTE
  20. Future Series: Cybersecurity, Emerging Technology, and Systemic Risk, "WEF", ~ (2020)
  21. Reinventing Cybersecurity with Artificial Intelligence, "Gapgemini Research Institute", ~ (2019)

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