511 research outputs found

    Denying Collision In The Second Round Of Keccak Hash Function By Camouflaging Free Bits

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    Keccak Hash Function is the winner of SHA3 competition. Hash function collision has become one of the fundamental problem in Keccak Hash Function. One of the attack which is based on collision has been proposed by Plasencia, et.al. They proposed the practical analysis of reduced round Keccak Hash Function, such that the collision will be found in the second round of Keccak-224. For preventing Keccak Hash Function against Plasencia attack, denying collision in the second round is necessary. Denying the collision of Keccak Hash Function has become one challenge. Since the attacker used free bit for finding the collision, then for preventing against the attack the free bit camouflaging should be conducted. Therefore, for denying the collision in the second round of Keccak Hash Function, free bit camouflaging is proposed. Free bits are used to find the original message that is caused by the collision. For denying the collision, the proposed method modifies the input message by using reverse interleaving scheme. This scheme introduces inverse double mirror image sequence of a message to prevent the attacker in obtaining the original free bits. Based on the experiment, it has been proven that using reverse interleaving, the attacker obtained the camouflaged free bit instead of the original one. The camouflaged free bit will increase the difficulty for finding the collision such that the collision could not be found in the second round. This condition will prevent the attacker for finding the original message. The larger the difference would increase the complexity of attack on Keccak Hash Function in obtaining the original message

    Estimating the cost of generic quantum pre-image attacks on SHA-2 and SHA-3

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    We investigate the cost of Grover's quantum search algorithm when used in the context of pre-image attacks on the SHA-2 and SHA-3 families of hash functions. Our cost model assumes that the attack is run on a surface code based fault-tolerant quantum computer. Our estimates rely on a time-area metric that costs the number of logical qubits times the depth of the circuit in units of surface code cycles. As a surface code cycle involves a significant classical processing stage, our cost estimates allow for crude, but direct, comparisons of classical and quantum algorithms. We exhibit a circuit for a pre-image attack on SHA-256 that is approximately 2153.82^{153.8} surface code cycles deep and requires approximately 212.62^{12.6} logical qubits. This yields an overall cost of 2166.42^{166.4} logical-qubit-cycles. Likewise we exhibit a SHA3-256 circuit that is approximately 2146.52^{146.5} surface code cycles deep and requires approximately 2202^{20} logical qubits for a total cost of, again, 2166.52^{166.5} logical-qubit-cycles. Both attacks require on the order of 21282^{128} queries in a quantum black-box model, hence our results suggest that executing these attacks may be as much as 275275 billion times more expensive than one would expect from the simple query analysis.Comment: Same as the published version to appear in the Selected Areas of Cryptography (SAC) 2016. Comments are welcome

    Quantum Algorithms for Boolean Equation Solving and Quantum Algebraic Attack on Cryptosystems

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    Decision of whether a Boolean equation system has a solution is an NPC problem and finding a solution is NP hard. In this paper, we present a quantum algorithm to decide whether a Boolean equation system FS has a solution and compute one if FS does have solutions with any given success probability. The runtime complexity of the algorithm is polynomial in the size of FS and the condition number of FS. As a consequence, we give a polynomial-time quantum algorithm for solving Boolean equation systems if their condition numbers are small, say polynomial in the size of FS. We apply our quantum algorithm for solving Boolean equations to the cryptanalysis of several important cryptosystems: the stream cipher Trivum, the block cipher AES, the hash function SHA-3/Keccak, and the multivariate public key cryptosystems, and show that they are secure under quantum algebraic attack only if the condition numbers of the corresponding equation systems are large. This leads to a new criterion for designing cryptosystems that can against the attack of quantum computers: their corresponding equation systems must have large condition numbers

    Symmetric Cryptography : Report from Dagstuhl Seminar 12031

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    An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

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    Near-sensor data analytics is a promising direction for IoT endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns, as valuable data is stored or sent over the network at various stages of the analytics pipeline. Using encryption to protect sensitive data at the boundary of the on-chip analytics engine is a way to address data security issues. To cope with the combined workload of analytics and encryption in a tight power envelope, we propose Fulmine, a System-on-Chip based on a tightly-coupled multi-core cluster augmented with specialized blocks for compute-intensive data processing and encryption functions, supporting software programmability for regular computing tasks. The Fulmine SoC, fabricated in 65nm technology, consumes less than 20mW on average at 0.8V achieving an efficiency of up to 70pJ/B in encryption, 50pJ/px in convolution, or up to 25MIPS/mW in software. As a strong argument for real-life flexible application of our platform, we show experimental results for three secure analytics use cases: secure autonomous aerial surveillance with a state-of-the-art deep CNN consuming 3.16pJ per equivalent RISC op; local CNN-based face detection with secured remote recognition in 5.74pJ/op; and seizure detection with encrypted data collection from EEG within 12.7pJ/op.Comment: 15 pages, 12 figures, accepted for publication to the IEEE Transactions on Circuits and Systems - I: Regular Paper

    Improving security of lightweith SHA-3 against preimage attacks

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    In this article we describe the SHA-3 algorithm and its internal permutation in which potential weaknesses are hidden.  The hash algorithm can be used for different purposes, such as pseudo-random bit sequences generator, key wrapping or one pass authentication, especially in weak devices (WSN, IoT, etc.). Analysis of the function showed that successful preimage attacks are possible for low round hashes, protection from which only works with increasing the number of rounds inside the function. When the hash function is used for building lightweight applications, it is necessary to apply a small number of rounds, which requires additional security measures. This article proposes a variant improved hash function protecting against preimage attacks, which occur on SHA-3. We suggest using an additional external randomness sources obtained from a lightweight PRNG or from application of the source data permutation

    Revisiting Shared Data Protection Against Key Exposure

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    This paper puts a new light on secure data storage inside distributed systems. Specifically, it revisits computational secret sharing in a situation where the encryption key is exposed to an attacker. It comes with several contributions: First, it defines a security model for encryption schemes, where we ask for additional resilience against exposure of the encryption key. Precisely we ask for (1) indistinguishability of plaintexts under full ciphertext knowledge, (2) indistinguishability for an adversary who learns: the encryption key, plus all but one share of the ciphertext. (2) relaxes the "all-or-nothing" property to a more realistic setting, where the ciphertext is transformed into a number of shares, such that the adversary can't access one of them. (1) asks that, unless the user's key is disclosed, noone else than the user can retrieve information about the plaintext. Second, it introduces a new computationally secure encryption-then-sharing scheme, that protects the data in the previously defined attacker model. It consists in data encryption followed by a linear transformation of the ciphertext, then its fragmentation into shares, along with secret sharing of the randomness used for encryption. The computational overhead in addition to data encryption is reduced by half with respect to state of the art. Third, it provides for the first time cryptographic proofs in this context of key exposure. It emphasizes that the security of our scheme relies only on a simple cryptanalysis resilience assumption for blockciphers in public key mode: indistinguishability from random, of the sequence of diferentials of a random value. Fourth, it provides an alternative scheme relying on the more theoretical random permutation model. It consists in encrypting with sponge functions in duplex mode then, as before, secret-sharing the randomness

    Security of the SHA-3 candidates Keccak and Blue Midnight Wish: Zero-sum property

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    The SHA-3 competition for the new cryptographic standard was initiated by National Institute of Standards and Technology (NIST) in 2007. In the following years, the event grew to one of the top areas currently being researched by the CS and cryptographic communities. The first objective of this thesis is to overview, analyse, and critique the SHA-3 competition. The second one is to perform an in-depth study of the security of two candidate hash functions, the finalist Keccak and the second round candidate Blue Midnight Wish. The study shall primarily focus on zero-sum distinguishers. First we attempt to attack reduced versions of these hash functions and see if any vulnerabilities can be detected. This is followed by attacks on their full versions. In the process, a novel approach is utilized in the search of zero-sum distinguishers by employing SAT solvers. We conclude that while such complex attacks can theoretically uncover undesired properties of the two hash functions presented, such attacks are still far from being fully realized due to current limitations in computing power
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