Information Security and Cryptology – ICISC 2012: 15th by Thore Graepel, Kristin Lauter, Michael Naehrig (auth.),

By Thore Graepel, Kristin Lauter, Michael Naehrig (auth.), Taekyoung Kwon, Mun-Kyu Lee, Daesung Kwon (eds.)

This booklet constitutes the completely refereed post-conference complaints of the fifteenth overseas convention on details safety and Cryptology, ICISC 2012, held in Seoul, Korea, in November 2012. The 32 revised complete papers offered including three invited talks have been rigorously chosen from a hundred and twenty submissions in the course of rounds of reviewing. The papers give you the most modern leads to learn, improvement, and purposes within the box of data safeguard and cryptology. they're prepared in topical sections on assault and safety, software program and net defense, cryptanalysis, cryptographic protocol, identity-based encryption, effective implementation, cloud computing safeguard, aspect channel research, electronic signature, and privateness enhancement.

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Extra resources for Information Security and Cryptology – ICISC 2012: 15th International Conference, Seoul, Korea, November 28-30, 2012, Revised Selected Papers

Example text

Let λ = 2 equation: (Δ + x) · (Δ + λy) = (Δ + z) · (Δ + λt) N 4 and consider the mod n (6) The following explains how to find in polynomial time four distinct solutions x, y, z, t of size ∼ N4 . Therefore this gives a relation between four messages m1 = x, m2 = λy, m3 = z and m4 = λt of size ∼ N2 but an entropy of ∼ N4 bits only. By expanding equation (6) we get: Δ (x − z + λ(y − t)) = λ(z · t − x · y) mod n As previously, by developing Δ /n as a continued fraction with Δ = Δ/λ mod n,√we can find √ U, V such that √Δ · U = λV mod n where this time we take − n ≤ U ≤ n and 0 ≤ V ≤ 2 n.

To improve the performance of intrusion detection systems, various techniques should be explored and multiple techniques should be combined together. Therefore, we argue that our proposed indexing method can contribute to improve the performance of intrusion detection systems. 3 Our Proposed Method Chen et al. presented the relationship between the number of primary patterns and the number of Snort rules [9]. A primary pattern is a set of strings that appear repeatedly within Snort rule signatures.

We estimate the performance of the index selection algorithm, by calculating the TLS to be examined; we describe the estimation process in the following paragraphs. Fig. 5. A Result of Index Selection The TLS is the total length of indices (TLI) and the total length of signatures of matched indices (TLSI), as shown in Figure 5. TLI is the number of indices times the Balanced Indexing Method for Efficient Intrusion Detection Systems 45 length of index, as the whole indices should be examined during the inspection.

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