Download Fast Software Encryption: 11th International Workshop, FSE by Alexander Klimov, Adi Shamir (auth.), Bimal Roy, Willi Meier PDF
By Alexander Klimov, Adi Shamir (auth.), Bimal Roy, Willi Meier (eds.)
This ebook constitutes the refereed complaints of the eleventh foreign Workshop on quick software program Encryption, FSE 2004, held in Delhi, India in February 2004.
The 28 revised complete papers offered including 2 invited papers have been rigorously reviewed and chosen from seventy five submissions. The papers are geared up in topical sections on algebraic assaults, flow cipher cryptanalysis, Boolean capabilities, movement cipher layout, layout and research of block ciphers, cryptographic primitives-theory, modes of operation, and research of MACs and hash functions.
Read Online or Download Fast Software Encryption: 11th International Workshop, FSE 2004, Delhi, India, February 5-7, 2004. Revised Papers PDF
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Extra resources for Fast Software Encryption: 11th International Workshop, FSE 2004, Delhi, India, February 5-7, 2004. Revised Papers
We shall use w = log2 7, as given by the Strassen algorithm. Let the summation generator with 2k input LFSRs use an m-bit initial key. We remark that for  and Theorem 3, the key stream needs to be consecutive. , we need groups of k + 1 consecutive bits, but these groups may be far apart from each other. Hence, a straightforward comparison of data complexity might not be fair. Also, the values for  have been calculated assuming that the LFSRs in use have been chosen well, so that their 2-adic span is maximal.
In other words, there is an attack using only 2 chosen plaintexts and achieving distinguishing advantage 1 − 1/(|M| − 1). Diﬀerential Cryptanalysis. A natural extension is to generalize the above attack by looking for some matrix element MΔ,Δ with surprisingly large probability, rather than looking for a matrix element with probability 1. Indeed, such a modiﬁcation yields exactly Biham & Shamir’s diﬀerential cryptanalysis , and any large matrix element MΔ,Δ gives us a diﬀerential Δ → Δ with probability p = MΔ,Δ .
Table 3 compares the upper bounds on the degree of the algebraic equation claimed by various methods. We believe this table is big enough to cover any practically usable summation generator and should serve as a good reference for anyone implementing a summation generator and considering its immunity to algebraic attacks. Table 3. Degree bounds on algebraic equations for summation generators n 2 3 4 5 6 7 8 [1, 5] 2 5 6 10 12 14 16 Thm 2 explicit calc. 2 2 4 4 3 4 8 6 8 6 8 7 8 8 9 10 11 23 25 28 16 12 16 12 16 13 12 13 14 15 16 30 33 35 38 40 16 14 16 14 16 14 16 15 16 16 42 6 Dong Hoon Lee et al.