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Titlebook: Information Security and Cryptology - ICISC 2009; 12th International C Donghoon Lee,Seokhie Hong Conference proceedings 2010 Springer-Verla

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樓主: fumble
31#
發(fā)表于 2025-3-26 20:57:54 | 只看該作者
MXL3: An Efficient Algorithm for Computing Gr?bner Bases of Zero-Dimensional Idealsm, mutant strategy, and a new sufficient condition for a set of polynomials to be a Gr?bner basis. We present experimental results comparing the behavior of MXL. to F. on HFE and random generated instances of the MQ problem. In both cases the first implementation of the MXL. algorithm succeeds faste
32#
發(fā)表于 2025-3-27 01:11:02 | 只看該作者
33#
發(fā)表于 2025-3-27 07:36:03 | 只看該作者
34#
發(fā)表于 2025-3-27 11:54:09 | 只看該作者
35#
發(fā)表于 2025-3-27 14:46:40 | 只看該作者
Power Analysis of Single-Rail Storage Elements as Used in MDPLs side-channel resistant logic styles such as MDPL and iMDPL, are not sufficient to obfuscate the remaining leakage of single-rail flip-flops..By applying simple models for the leakage of masked flip-flops, we design a new attack on circuits implemented using masked single-rail flip-flops. Contrary
36#
發(fā)表于 2025-3-27 20:07:28 | 只看該作者
A Timing Attack against Patterson Algorithm in the McEliece PKCg attack on the Patterson Algorithm, which is used for efficient decoding in Goppa codes. The attack is based on the relation between the error vector weight and the iteration number of the extended Euclidean algorithm used in Patterson Algorithm. This attack enables the extraction of the secret err
37#
發(fā)表于 2025-3-28 01:27:17 | 只看該作者
38#
發(fā)表于 2025-3-28 04:37:11 | 只看該作者
39#
發(fā)表于 2025-3-28 08:08:54 | 只看該作者
Efficient Fuzzy Matching and Intersection on Private Datasetsf them having a set of vectors where each vector has . integer components, the fuzzy private matching is to securely test if each vector of one set matches any vector of another set for at least . components where .?
40#
發(fā)表于 2025-3-28 13:56:50 | 只看該作者
Efficient Privacy-Preserving Face Recognitionf humans. However, the rapid improvement and widespread deployment of this technology raises strong concerns regarding the violation of individuals’ privacy. A typical application scenario for privacy-preserving face recognition concerns a client who privately searches for a specific face image in t
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