LHash: A Lightweight Hash Function (Full Version)

In this paper, we propose a new lightweight hash function supporting three different digest sizes: 80, 96 and 128 bits, providing preimage security from 64 to 120 bits, second preimage and collision security from 40 to 60 bits. LHash requires about 817 GE and 1028 GE with a serialized implementation. In faster implementations based on function $T$, LHash requires 989 GE and 1200 GE with 54 and 72 cycles per block, respectively. Furthermore, its energy consumption evaluated by energy per bit is also remarkable. LHash allows to make trade-offs among security, speed, energy consumption and implementation costs by adjusting parameters. The design of LHash employs a kind of Feistel-PG structure in the internal permutation, and this structure can utilize permutation layers on nibbles to improve the diffusion speed. The adaptability of LHash in different environments is good, since different versions of LHash share the same basic computing module. The low-area implementation comes from the hardware-friendly S-box and linear diffusion layer. We evaluate the resistance of LHash against known attacks and confirm that LHash provides a good security margin

Algebraic Cryptanalysis of Deterministic Symmetric Encryption

Deterministic symmetric encryption is widely used in many cryptographic applications. The security of deterministic block and stream ciphers is evaluated using cryptanalysis. Cryptanalysis is divided into two main categories: statistical cryptanalysis and algebraic cryptanalysis. Statistical cryptanalysis is a powerful tool for evaluating the security but it often requires a large number of plaintext/ciphertext pairs which is not always available in real life scenario. Algebraic cryptanalysis requires a smaller number of plaintext/ciphertext pairs but the attacks are often underestimated compared to statistical methods. In algebraic cryptanalysis, we consider a polynomial system representing the cipher and a solution of this system reveals the secret key used in the encryption. The contribution of this thesis is twofold. Firstly, we evaluate the performance of existing algebraic techniques with respect to number of plaintext/ciphertext pairs and their selection. We introduce a new strategy for selection of samples. We build this strategy based on cube attacks, which is a well-known technique in algebraic cryptanalysis. We use cube attacks as a fast heuristic to determine sets of plaintexts for which standard algebraic methods, such as Groebner basis techniques or SAT solvers, are more efficient. Secondly, we develop a~new technique for algebraic cryptanalysis which allows us to speed-up existing Groebner basis techniques. This is achieved by efficient finding special polynomials called mutants. Using these mutants in Groebner basis computations and SAT solvers reduces the computational cost to solve the system. Hence, both our methods are designed as tools for building polynomial system representing a cipher. Both tools can be combined and they lead to a significant speedup, even for very simple algebraic solvers

Multipurpose Cryptographic Primitive

Abstract. This paper describes a new design of the multipurpose cryptographic primitive ARMADILLO3 and analyses its security. The AR-MADILLO3 family is oriented on small hardware such as smart cards and RFID chips. The original design ARMADILLO and its variants were analyzed by Sepehrdad et al. at CARDIS’11, the recommended variant ARMADILLO2 was analyzed by Plasencia et al. at FSE’12 and by Abdelraheem et al. at ASIACRYPT’11. The ARMADILLO3 design takes the original approach of combining a substitution and a permutation layer. The new family ARMADILLO3 introduces a reduced-size substitution layer with 3 × 3and4 × 4 S-boxes, which covers the substitution layer from 25 % to 100 % of state bits, depending on the security requirements. We propose an instance ARMADILLO3-A1/4 with a pair of permutations and S-boxes applied on 25 % of state bits at each stage.