25 research outputs found

    Safer parameters for the Chor–Rivest cryptosystem

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    AbstractVaudenay’s cryptanalysis against Chor–Rivest cryptosystem is applicable when the parameters, p and h, originally proposed by the authors are used. Nevertheless, if p and h are both prime integers, then Vaudenay’s attack is not applicable. In this work, a choice of these parameters resistant to the existing cryptanalytic attacks, is presented. The parameters are determined in a suitable range guaranteeing its security and the computational feasibility of implementation. Regrettably, the obtained parameters are scarce in practice

    Agri-Food Traceability Management using a RFID System with Privacy Protection

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    In this paper an agri-food traceability system based on public key cryptography and Radio Frequency Identification (RFID) technology is proposed. In order to guarantee safety in food, an efficient tracking and tracing system is required. RFID devices allow recording all useful information for traceability directly on the commodity. The security issues are discussed and two different methods based on public cryptography are proposed and evaluated. The first algorithm uses a nested RSA based structure to improve security, while the second also provides authenticity of data. An experimental analysis demonstrated that the proposed system is well suitable on PDAs to

    A New Hybrid Particle Swarm Optimization and Greedy for 0-1 Knapsack Problem

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    Eina per al disseny i correcciĂł d'exĂ mens de tipus test

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    "...presentamos una aplicación del clásico criptosistema knapsack al diseño de exámenes de tipo test. Una de las ventajas frente a un test tradicional es que posibilita la prevención y detección del fraude por copia, durante la realización del examen. El sistema permite al alumno obtener su calificación inmediatamente después del examen, así como liberar al profesor de la corrección del examen..."Factoria FM

    Quadratic compact knapsack public-key cryptosystem

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    AbstractKnapsack-type cryptosystems were among the first public-key cryptographic schemes to be invented. Their NP-completeness nature and the high speed in encryption/decryption made them very attractive. However, these cryptosystems were shown to be vulnerable to the low-density subset-sum attacks or some key-recovery attacks. In this paper, additive knapsack-type public-key cryptography is reconsidered. We propose a knapsack-type public-key cryptosystem by introducing an easy quadratic compact knapsack problem. The system uses the Chinese remainder theorem to disguise the easy knapsack sequence. The encryption function of the system is nonlinear about the message vector. Under the relinearization attack model, the system enjoys a high density. We show that the knapsack cryptosystem is secure against the low-density subset-sum attacks by observing that the underlying compact knapsack problem has exponentially many solutions. It is shown that the proposed cryptosystem is also secure against some brute-force attacks and some known key-recovery attacks including the simultaneous Diophantine approximation attack and the orthogonal lattice attack

    On Known-Plaintext Attacks to a Compressed Sensing-based Encryption: A Quantitative Analysis

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    Despite the linearity of its encoding, compressed sensing may be used to provide a limited form of data protection when random encoding matrices are used to produce sets of low-dimensional measurements (ciphertexts). In this paper we quantify by theoretical means the resistance of the least complex form of this kind of encoding against known-plaintext attacks. For both standard compressed sensing with antipodal random matrices and recent multiclass encryption schemes based on it, we show how the number of candidate encoding matrices that match a typical plaintext-ciphertext pair is so large that the search for the true encoding matrix inconclusive. Such results on the practical ineffectiveness of known-plaintext attacks underlie the fact that even closely-related signal recovery under encoding matrix uncertainty is doomed to fail. Practical attacks are then exemplified by applying compressed sensing with antipodal random matrices as a multiclass encryption scheme to signals such as images and electrocardiographic tracks, showing that the extracted information on the true encoding matrix from a plaintext-ciphertext pair leads to no significant signal recovery quality increase. This theoretical and empirical evidence clarifies that, although not perfectly secure, both standard compressed sensing and multiclass encryption schemes feature a noteworthy level of security against known-plaintext attacks, therefore increasing its appeal as a negligible-cost encryption method for resource-limited sensing applications.Comment: IEEE Transactions on Information Forensics and Security, accepted for publication. Article in pres
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