Secure and efficient compressed sensing based encryption with sparse matrices
Wonwoo Cho, Nam Yul Yu

TL;DR
This paper proposes a secure and efficient compressed sensing encryption scheme using sparse matrices, employing cryptographic primitives to enhance security against various attacks while maintaining low computational costs.
Contribution
It introduces a novel sparse one-time sensing cryptosystem that combines compressed sensing with stream cipher primitives for improved security and efficiency.
Findings
Achieves computational security against ciphertext-only attacks.
Demonstrates high probability of security against keystream recovery under chosen plaintext attack.
Provides information-theoretic resistance to key recovery attacks.
Abstract
In this paper, we study the security of a compressed sensing (CS) based cryptosystem called a sparse one-time sensing (S-OTS) cryptosystem, which encrypts a plaintext with a sparse measurement matrix. To construct the secret matrix and renew it at each encryption, a bipolar keystream and a random permutation pattern are employed as cryptographic primitives, which can be obtained by a keystream generator of stream ciphers. With a small number of nonzero elements in the measurement matrix, the S-OTS cryptosystem achieves efficient CS encryption in terms of memory and computational cost. In security analysis, we show that the S-OTS cryptosystem can be indistinguishable as long as each plaintext has constant energy, which formalizes computational security against ciphertext only attacks (COA). In addition, we consider a chosen plaintext attack (CPA) against the S-OTS cryptosystem, which…
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Taxonomy
TopicsSparse and Compressive Sensing Techniques · Microwave Imaging and Scattering Analysis · Wireless Communication Security Techniques
