There is no doubt that the privacy of individuals, the confidentiality of information about them, the integrity of transaction holding and the availability of service systems are all essential; threats in any one of these aspects is costly and could lead to disaster. Securing computer services has been considered a core part of any new development, one of which is clinical information systems. In this paper we discuss a security policy model for a clinical information system and investigate whether logical languages can represent the principles of this kind of model. We have used three logical security languages: the Authorization Specification Language (ASL), a Language for Security Constraints on Objects (LaSCO) and Ponder: a Language for Specifying Security and Management Policies for Distributed Systems. We will also study whether these principles are sufficient to deal with the case of multi-agency services and sharing information with different agencies such as social services, police and education authority.
This paper presents combined face recognition and watermarking technique to secure a biometric image and maintain the recognition rate. These days, with advanced technology, the biometric data can be stolen and faked which may be used in other applications that utilize the same biometric feature. The discrete cosine transform (DCT) watermarking technique is used to certify the biometric image belong to the legitimate user. We have tested the proposed scheme under several attacks. The results of the experimentations show that the face recognition rate performance almost does not degrade due to watermark embedding and the proposed scheme is robust against several attacks.
This paper presents a proposal for a suitable and viable combination of a face recognition system and a watermarking system, namely a PCA-DCT combination, as a new watermarked face recognition scheme that will ensure the authenticity of the data being transmitted in the face recognition system, which will then increase its level of security. The emphasis is on recognizing and rejecting stolen biometric data reintroduced into the system. The research begins with an analysis of biometric systems, with an emphasis on face recognition systems, and in particular with reference to the recorded threats on such systems, Biometric watermarking algorithms proposed by previous researchers within the face recognition environment are then studied, noting their proposed solutions to the said threats. This would then give a good idea towards a watermarked face recognition scheme to be proposed to enhance the security of face recognition systems, especially in terms of the authenticity of the data being transmitted. This watermarked face recognition scheme is the main objective, which will be then worked into the PCA-DCT combination, followed by a check on all the 8 possible locations where data may be intercepted and/or reintroduced. All the results produced are positive, apart from a few situations that will have to be left for future work. Non degradation of the individual PCA and DCT systems due to the combination is also checked and experimented on, again with positive results. Finally, the robustness of the watermarked face recognition scheme is experimented on to evaluate its resilience against attacks.
-This paper presents a proposal for a suitable and viable combination of a face recognition system and a watermarking system, with a watermarking technique that will ensure the authenticity of the data being transmitted in the face recognition system, which will then enhance its level of security. The proposed combination is a PCA-DCT system.
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