학술논문
Cybersecurity Development Status and AI-Based Ship Network Security Device Configuration for MASS
이용수 80
- 영문명
- Cybersecurity Development Status and AI-Based Ship Network Security Device Configuration for MASS
- 발행기관
- 한국항해항만학회
- 저자명
- 유윤재 윤경국 David Kwak 안종우 박상원
- 간행물 정보
- 『한국항해항만학회지』제47권 제2호, 57~65쪽, 전체 9쪽
- 주제분류
- 공학 > 해양공학
- 파일형태
- 발행일자
- 2023.04.30
4,000원
구매일시로부터 72시간 이내에 다운로드 가능합니다.
이 학술논문 정보는 (주)교보문고와 각 발행기관 사이에 저작물 이용 계약이 체결된 것으로, 교보문고를 통해 제공되고 있습니다.
국문 초록
영문 초록
In 2017, the International Maritime Organization (IMO) adopted MSC.428 (98), which recommends establishing a cyber-risk management system in Ship Safety Management Systems (SMSs) from January 2021. The 27th International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA) also discussed prioritizing cyber-security (cyber-risk management) in developing systems to support Maritime Autonomous Surface Ship (MASS) operations (IALA guideline on developments in maritime autonomous surface ships). In response to these international discussions, Korea initiated the Korea Autonomous Surface Ship technology development project (KASS project) in 2020. Korea has been carrying out detailed tasks for cybersecurity technology development since 2021. This paper outlines the basic concept of ship network security equipment for supporting MASS ship operation in detailed task of cybersecurity technology development and defines ship network security equipment interface for MASS ship applications.
목차
1. Introduction
2. Cybersecurity development for MASS
3. AI-based ship network security device(AISNSD) development
4. Conclusion
Acknowledgements
References
키워드
해당간행물 수록 논문
- Design and Implementation of Green Coastal Lighting System for Entrance to Coastal Pier
- Factors Affecting Stock Beta Variations of Korean Listed Shipping Companies
- Understanding Relationships Among Risk Factors in Container Port Operation Using Bayesian Network
- Design and Analysis of a Novel Methanol SOFC Combined System for Marine Applications Toward Future Green Shipping Goals
- Implementation of Ship Trajectory Following Algorithm
- 한국항해항만학회지 제47권 제2호 목차
- A Study on Ship Route Generation with Deep Q Network and Route Following Control
- Optimal Route Planning for Maritime Autonomous Surface Ships Using a Nonlinear Model Predictive Control
- Cybersecurity Development Status and AI-Based Ship Network Security Device Configuration for MASS
참고문헌
교보eBook 첫 방문을 환영 합니다!
신규가입 혜택 지급이 완료 되었습니다.
바로 사용 가능한 교보e캐시 1,000원 (유효기간 7일)
지금 바로 교보eBook의 다양한 콘텐츠를 이용해 보세요!