Abstract
In this paper, a new approach for encrypting the video data through compressive sensing is proposed. Even though, Orsdemir’s cryptography key based measurement matrix (Φ B matrix) generation technique [11] provides a robust encryption method for CS framework, this scheme can not provide large key space and security. Hence the aim of this work is to improve the security and key-space of the compressive sensing paradigm without affecting the basic features of compressive sensing such as good reconstruction performance, robustness to noise characteristics and also a low encoder complexity. In order to improve the key space and security, piecewise linear chaotic map (PWLCM) based of Φ B matrix generation technique is proposed. The PWLCM is run for random number of iterations to form a random array which is used as the initial seed for generating the secure Φ B matrix. The initial & system parameter values and the number of iterations of PWLCM are kept as secret key. The proposed Φ B matrix generation technique is validated with popular CS based video reconstruction techniques and it is found that the proposed method provides an improvement in the key space and security without affecting the basic features of compressive sensing.
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Kolazi, A., George, S.N., Deepthi, P.P. (2014). PWLCM Based Secure Measurement Matrix Generation for Secure Video Compressive Sensing. In: Mauri, J.L., Thampi, S.M., Rawat, D.B., Jin, D. (eds) Security in Computing and Communications. SSCC 2014. Communications in Computer and Information Science, vol 467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44966-0_17
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DOI: https://doi.org/10.1007/978-3-662-44966-0_17
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