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    AI-Based CYBERSECURITY: Benefits and Limitations

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    https://www.riss.kr/link?id=A107324727

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    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.
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    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 an...

    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.

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    참고문헌 (Reference)

    1 홍준혁, "인공지능기반 보안관제 구축 및 대응 방안" 한국콘텐츠학회 21 (21): 531-540, 2021

    2 배재권, "인공지능과 빅데이터 분석 기반 통합보안관제시스템 구축방안에 관한 연구" 한국로고스경영학회 18 (18): 151-165, 2020

    3 윤정현, "인공지능과 블록체인의 도입이 사이버 안보의 공·수 비대칭 구도에 갖는 의미" 한국국제정치학회 59 (59): 45-82, 2019

    4 문재웅, "인공지능 기술 활용을 위한 사이버 국방 정보보호 시스템 분석" 한국디지털콘텐츠학회 21 (21): 891-900, 2020

    5 박상민, "사이버공격시 게임이론을 활용한 집단지성간전략결정 모델 연구 - 한수원 해킹사건을 중심으로 -" 한국정보보호학회 26 (26): 237-246, 2016

    6 이종관, "미래전과 국방 인공지능 체계" 한국통신학회 44 (44): 782-790, 2019

    7 "https://threatpost.com/"

    8 Yi Li, "The Advent of AI and Its Some Implications to MILITARY AFFAIRS" J-INSTITUTE 5 (5): 38-47, 2020

    9 National Information Society Agency, "The Abuse of AI Its Threats and Alternatives" National Information Society Agency 2018

    10 조성구, "Terrorism CRISIS on Northeast Asia" J-INSTITUTE 5 (5): 35-42, 2020

    1 홍준혁, "인공지능기반 보안관제 구축 및 대응 방안" 한국콘텐츠학회 21 (21): 531-540, 2021

    2 배재권, "인공지능과 빅데이터 분석 기반 통합보안관제시스템 구축방안에 관한 연구" 한국로고스경영학회 18 (18): 151-165, 2020

    3 윤정현, "인공지능과 블록체인의 도입이 사이버 안보의 공·수 비대칭 구도에 갖는 의미" 한국국제정치학회 59 (59): 45-82, 2019

    4 문재웅, "인공지능 기술 활용을 위한 사이버 국방 정보보호 시스템 분석" 한국디지털콘텐츠학회 21 (21): 891-900, 2020

    5 박상민, "사이버공격시 게임이론을 활용한 집단지성간전략결정 모델 연구 - 한수원 해킹사건을 중심으로 -" 한국정보보호학회 26 (26): 237-246, 2016

    6 이종관, "미래전과 국방 인공지능 체계" 한국통신학회 44 (44): 782-790, 2019

    7 "https://threatpost.com/"

    8 Yi Li, "The Advent of AI and Its Some Implications to MILITARY AFFAIRS" J-INSTITUTE 5 (5): 38-47, 2020

    9 National Information Society Agency, "The Abuse of AI Its Threats and Alternatives" National Information Society Agency 2018

    10 조성구, "Terrorism CRISIS on Northeast Asia" J-INSTITUTE 5 (5): 35-42, 2020

    11 이재범, "Suggestions for Using AI in Preparation for a Super-Aging Society" J-INSTITUTE 5 (5): 57-64, 2020

    12 Gapgemini Research Institute, "Reinventing Cybersecurity with Artificial Intelligence" 2019

    13 Cuzzolin F, "Knowing Me, Knowing You: Theory of Mind in AI" 50 (50): 1057-1061, 2020

    14 Yeojin Lim, "Implications of Emotional Coaching and Integrated Art Therapy Teaching Method on Leadership Education in the AI Era" J-INSTITUTE 5 (5): 42-49, 2020

    15 WEF, "Future Series: Cybersecurity, Emerging Technology, and Systemic Risk" 2020

    16 Park Bo-seok, "Enterprise SECURITY Management for IoT Services Based on Event Correlation in Republic of KOREA" J-INSTITUTE 3 (3): 17-24, 2018

    17 Robert J, "Cooperation Under the Security Dilemma" 30 (30): 210-211, 1978

    18 Nah S, "Communicating Artificial Intelligence(AI): Theory, Research, and Practice" 71 (71): 369-372, 2020

    19 Thanh CT, "Artificial Intelligence in the Cyber Domain: Offense and Defense" 12 (12): 1-24, 2020

    20 Hanh CT, "Artificial Intelligence in the Cyber Domain: Offense and Defense" 12 (12): 14-15, 2020

    21 Coker C, "Artificial Intelligence and the Future of War" 2 (2): 55-60, 2019

    22 Shabbir J, "Artificial Intelligence and its Role in Near Future" 14 (14): 1-11, 2015

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