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Improving the Upper Bound on the Maximum Average Linear Hull Probability for Rijndael
, 2001
"... In [15], Keliher et al. present a new method for upper bounding the maximum average linear hull probability (MALHP) for SPNs, a value which is required to make claims about provable security against linear cryptanalysis. Application of this method to Rijndael (AES) yields an upper bound of UB = 2 \ ..."
Abstract

Cited by 15 (6 self)
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In [15], Keliher et al. present a new method for upper bounding the maximum average linear hull probability (MALHP) for SPNs, a value which is required to make claims about provable security against linear cryptanalysis. Application of this method to Rijndael (AES) yields an upper bound of UB = 2 \Gamma75 when 7 or more rounds are approximated, corresponding to a lower bound on the data complexity of 32 UB = 2 80 (for a 96.7% success rate). In the current paper, we improve this upper bound for Rijndael by taking into consideration the distribution of linear probability values for the (unique) Rijndael 8 \Theta 8 sbox. Our new upper bound on the MALHP when 9 rounds are approximated is 2 \Gamma92 , corresponding to a lower bound on the data complexity of 2 97 (again for a 96.7% success rate). [This is after completing 43% of the computation; however, we believe that values have stabilizedsee Section 7.] Keywords: linear cryptanalysis, maximum average linear hull probability, provable security, Rijndael, AES 1
Linear cryptanalysis of substitutionpermutation networks
, 2003
"... The subject of this thesis is linear cryptanalysis of substitutionpermutation networks (SPNs). We focus on the rigorous form of linear cryptanalysis, which requires the concept of linear hulls. First, we consider SPNs in which the sboxes are selected independently and uniformly from the set of al ..."
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Cited by 4 (3 self)
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The subject of this thesis is linear cryptanalysis of substitutionpermutation networks (SPNs). We focus on the rigorous form of linear cryptanalysis, which requires the concept of linear hulls. First, we consider SPNs in which the sboxes are selected independently and uniformly from the set of all bijective n × n sboxes. We derive an expression for the expected linear probability values of such an SPN, and give evidence that this expression converges to the corresponding value for the true random cipher. This adds quantitative support to the claim that the SPN structure is a good approximation to the true random cipher. We conjecture that this convergence holds for a large class of SPNs. In addition, we derive a lower bound on the probability that an SPN with randomly selected sboxes is practically secure against linear cryptanalysis after a given number of rounds. For common block sizes, experimental evidence indicates that this probability rapidly approaches 1 with an increasing number of rounds.
Toward the true random cipher: On expected linear probability values for SPNs with randomly selected sboxes, chapter
 in Communications, Information and Network
, 2003
"... A block cipher, which is an important cryptographic primitive, is a bijective mapping from {0, 1} N to {0, 1} N (N is called the block size), parameterized by a key. In the true random cipher, each key results in a distinct mapping, and every mapping is realized by some key—this is generally taken t ..."
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Cited by 3 (2 self)
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A block cipher, which is an important cryptographic primitive, is a bijective mapping from {0, 1} N to {0, 1} N (N is called the block size), parameterized by a key. In the true random cipher, each key results in a distinct mapping, and every mapping is realized by some key—this is generally taken to be the ideal cipher model. We consider a fundamental block cipher architecture called a substitutionpermutation network (SPN). Specifically, we investigate expected linear probability (ELP) values for SPNs, which are the basis for a powerful attack called linear cryptanalysis. We show that if the substitution components (sboxes) of an SPN are randomly selected, then the expected value of any ELP entry converges to the corresponding value for the true random cipher, as the number of encryption rounds is increased. This gives quantitative support to the claim that the SPN structure is a practical approximation of the true random cipher.