이중요소를 이용한 상황인지 기반 드론 제어 메커니즘 설계
Design of Context-Aware-Based Drone Control Mechanism by Using Two-Factor
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
최근 다방면으로 활용되고 있는 드론은 무인 환경에서 동작하고 보안이 취약한 무선 통신을 사용하기 때문에 물리적 탈취 공격, 정보 유출 공격 등 다양한 보안 위협에 취약하다. 특히, 불법 드론 탈취로 인해 저장정보 유출 및무단 도용 등의 피해를 예방하기 위한 연구가 필요하다. 이에 본 논문에서는 드론이 불법적으로 탈취당한 경우에,저장된 내부 정보를 보호하고, 무단 도용을 예방할 수 있는 상황인지 기반 드론 제어 메커니즘을 제안하고, 제안 메커니즘의 실현성을 프로토타입 구현 및 실험으로 보였다.
Abstract
Drones, which are used in various fields, are vulnerable to various security threats such as physical deodorization attacksand information leakage attacks because they operate in an unmanned environment and use wireless communication withweak security. In particular, research is needed to prevent damages such as leakage of stored information and unauthorizeduse due to illegal drone deodorization. In this paper, we propose a context - aware drone control mechanism that protectsstored internal information and prevents unauthorized use when the drones are illegally deactivated. We also demonstratedthe feasibility of the proposed mechanism as a prototype implementation and experiment.
참고문헌 (17)
- "How vulnerable is the drones to hacking?"[URL]
- F. Samland, "AR. Drone: security threat analysis and exemplary attack to track persons", Proceedings of Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, International Society for Optics and Photonics, pp.83010G~ (2012)
- Seung-Jin Kim, "Drone password cracking through deauthorization and Hacking Drones Image Data", Proceedings of 2017 Annual Conference of the KIEE, pp.143~150 (2017)
- Security analysis of dji phantom 3 standard, "G. Trujano", Massachusetts Institute of Technology, ~ (2016)
- R. Altawy, "Security, privacy, and safety aspects of civilian drones : A survey", ACM Transactions on Cyber-Physical Systems, 1(2:7) (2017)
- A. Shoufan, "Drone Pilot Identification by Classifying Radio-Control Signals", IEEE Transactions on Information Forensics and Security, 10(13), pp.2439~2447 (2018)
- Jin-Seok Song, "Design of a Secure Drone Control Protocol using AllJoyn", KIISC Summer Conference, 26(1), pp.216~218 (2016)
- A. Juels, "A Fuzzy Commitment Scheme", Proceedings of ACM conference on Computer and Communications Security, pp.28~36 (1999)
- Y. Dodis, "Fuzzy extractors: How to generate strong keys from biometrics and other noisy data", pp.523~540 (2004), Springer
- A. Juels, "A fuzzy vault scheme", Designs, Codes and Cryptography, 38(2), pp.237~257 (2006)
- A. B. J. Teoh, "Secure biometric template protection in fuzzy commitment scheme", IEICE Electronics Express, 4(23), pp.724~730 (2007)
- E. Maiorana, "Fuzzy commitment for function based signature template protection", IEEE Signal Processing Letters, 17(3), pp.249~252 (2010)
- M. Sandhya, "Cancelable fingerprint cryptosystem using multiple spiral curves and fuzzy commitment scheme", International Journal of Pattern Recognition and Artificial Intelligence, 31(4) (2017)
- Dooho Choi, "Two-Factor Fuzzy Commitment for Unmanned IoT Devices Security", IEEE Internet of Things Journal (2018)
- R. Chien, "Cyclic decoding procedures for Bose-Chaudhuri-Hocquenghem codes", IEEE Transactions on Information Theory, 10(4), pp.357~363 (1964)
- N. Otsu, "A threshold selection method from gray-level histograms", IEEE transactions on systems, man, and cybernetics, 9(1), pp.62~66 (1979)
- R. Maes, "Secure key generation from biased PUFs : extended version", Journal of Cryptographic Engineering, 6(2), pp.121~137 (2016)