Advances in Information and Computer Security: 10th by Keisuke Tanaka, Yuji Suga

By Keisuke Tanaka, Yuji Suga

This ebook constitutes the complaints of the tenth foreign Workshop on defense, IWSEC 2015, held in Nara, Japan, in August 2015. The 18 complete papers and three brief papers awarded during this quantity have been conscientiously reviewed and chosen from fifty eight submissions. They have been geared up in topical sections named: identity-based encryption; elliptic curve cryptography; factoring; symmetric cryptanalysis; provable safety; LWE-based encryption; privacy-preserving and anonymity; safe protocol; structures protection; and safety in undefined.

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Extra resources for Advances in Information and Computer Security: 10th International Workshop on Security, IWSEC 2015, Nara, Japan, August 26-28, 2015, Proceedings (Lecture Notes in Computer Science)

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Suppose there exists an adversary A such that Gamereal AdvA − Gamerestricted AdvA = Then, we can build an algorithm B with advantage ≥ /2 in breaking Assumption 2. The next game, Game0 is the same as Gamerestricted except that the challenge ciphertext is semi-functional. Lemma 2. Suppose there exists an adversary A such that Gamerestricted AdvA − Game0 AdvA = Then, we can build an algorithm B with advantage in breaking Assumption 1. $ Proof. First, B is given (g, X3 , T¯). B chooses α, a0 , . .

Springer, Heidelberg (2013) 15. : Identity-based lossy trapdoor functions: new definitions, hierarchical extensions, and implications. In: Krawczyk, H. ) PKC 2014. LNCS, vol. 8383, pp. 239–256. Springer, Heidelberg (2014) 16. : Trapdoors for hard lattices and new cryptographic constructions. In: Proceedings of the Fortieth Annual ACM Symposium on Theory of computing, pp. 197–206. ACM (2008) 17. : Robustness of the learning with errors assumption. -C. ) ICS, pp. 230–240. Tsinghua University Press, Beijing (2010) 18.

Urθ R ,θ ) θ∈Path(ID|1 ) ¯ 3,θ , g rθ R ¯ , g tθ R ¯ , u rθ R ¯ 1,θ , . . , urθ R ¯ (Pθ−1 g α (uI00 h)rθ (u T h )tθ R 3,θ 3,θ 1 and ,θ ) θ , where θ ∈ KUNode(BT0 , RL0 , T ). For θ ∈ Path(ID|1 ) ∩ KUNode(BT0 , RL0 , T ), dkID|1 is equal to rθ +rθ ¯ R ¯ I1 ¯ 3,θ , g α (uI00 uI11 h)rθ +rθ (u T h )tθ (R3,θ R R3,θ , g tθ R 3,θ 1,θ ), g r +rθ u2θ ¯ 2,θ ), . . , urθ +rθ (R (R2,θ R ¯ ,θ R ,θ ) and later it is re-randomized. Thus, dkID|1 is of the desired form. As in the similar confirmation, we can check the case of k ≥ 2 under the assumption that dkID|k−1 is of the above form.

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