• 한국정보통신학회논문지
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• 제26권12호
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• pp.1863-1871
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• 2022

4차 산업혁명 시대에는 보안 네트워킹 기술이 국방 무기 체계에서 필수적인 역할을 하고 있다. 정보보안을 위해 암호 기술을 사용한다. 암호 기술의 안전성은 케르크호프의 원칙(Kerchoff's principle)에서 강조하듯 암호 기술 알고리즘이 아닌 암호 기술의 안전한 키 관리에 기반한다. 그러나, 전장 환경에서 무기체계의 잦은 이동으로 인해 네트워크 구조가 변하며 전통적인 중앙 집중식 키 관리 방법을 사용하기가 어렵다. 또한 IoBT(Internet of Battlefield Things) 환경에서 사용되는 각 노드의 시스템 자원은 크기, 용량, 성능이 제한되므로 기존의 키 관리 알고리즘보다 계산량과 복잡도가 적은 경량화 키 관리 시스템이 필요하다. 본 논문은 IoBT 환경을 위한 경량화 방식의 새로운 키 위탁 방식을 제안한다. 제안된 기법의 안전성과 성능을 수치 분석과 시뮬레이션을 통해 검증하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권12호
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• pp.4568-4587
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• 2014

Authentication of videos and images based on the content is becoming an important problem in information security. Unfortunately, previous studies lack the consideration of Kerckhoffs's principle in order to achieve this (i.e., a cryptosystem should be secure even if everything about the system, except the key, is public knowledge). In this paper, a solution to the problem of finding a relationship between a frame's index and its content is proposed based on the creative utilization of a robust manifold feature. The proposed solution is based on a novel semi-fragile watermarking scheme for H.264/AVC video content authentication. At first, the input I-frame is partitioned for feature extraction and watermark embedding. This is followed by the temporal feature extraction using the Isometric Mapping algorithm. The frame index is included in the feature to produce the temporal watermark. In order to improve security, the spatial watermark will be encrypted together with the temporal watermark. Finally, the resultant watermark is embedded into the Discrete Cosine Transform coefficients in the diagonal positions. At the receiver side, after watermark extraction and decryption, temporal tampering is detected through a mismatch between the frame index extracted from the temporal watermark and the observed frame index. Next, the feature is regenerate through temporal feature regeneration, and compared with the extracted feature. It is judged through the comparison whether the extracted temporal watermark is similar to that of the original watermarked video. Additionally, for spatial authentication, the tampered areas are located via the comparison between extracted and regenerated spatial features. Experimental results show that the proposed method is sensitive to intentional malicious attacks and modifications, whereas it is robust to legitimate manipulations, such as certain level of lossy compression, channel noise, Gaussian filtering and brightness adjustment. Through a comparison between the extracted frame index and the current frame index, the temporal tempering is identified. With the proposed scheme, a solution to the Kerckhoffs's principle problem is specified.