Download e-book for iPad: Computational Intelligence and Security: International by Sosun Kim, Nam Su Chang, Chang Han Kim, Young-Ho Park,

By Sosun Kim, Nam Su Chang, Chang Han Kim, Young-Ho Park, Jongin Lim (auth.), Yue Hao, Jiming Liu, Yu-Ping Wang, Yiu-ming Cheung, Hujun Yin, Licheng Jiao, Jianfeng Ma, Yong-Chang Jiao (eds.)

ISBN-10: 3540308199

ISBN-13: 9783540308195

The quantity set LNAI 3801 and LNAI 3802 represent the refereed complaints of the once a year overseas convention on Computational Intelligence and safeguard, CIS 2005, held in Xi'an, China, in December 2005.

The 338 revised papers offered - 254 usual and eighty four prolonged papers - have been conscientiously reviewed and chosen from over 1800 submissions. the 1st quantity is geared up in topical sections on studying and fuzzy platforms, evolutionary computation, clever brokers and platforms, clever details retrieval, help vector machines, swarm intelligence, information mining, development reputation, and purposes. the second one quantity is subdivided in topical sections on cryptography and coding, cryptographic protocols, intrusion detection, safeguard types and structure, safeguard administration, watermarking and data hiding, internet and community functions, photo and sign processing, and applications.

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Extra info for Computational Intelligence and Security: International Conference, CIS 2005, Xi’an, China, December 15-19, 2005, Proceedings, Part II

Example text

In this paper, we propose an efficient and secure ID-based optimistic fair signature exchange protocols based on bilinear pairings. The users in the signature exchange protocol use ID-based setting and need no digital certificates. Our new protocol provides an efficient and secure solution for the problem of fair exchange of signatures in ID-based public key cryptosystem. References 1. : Identity-based cryptosystems and signature schemes. In: Advances in Cryptology - CRYPTO’84. Lecture Notes in Computer Science, Vol.

550 Multi-class SVMs Based on SOM Decoding Algorithm and Its Application in Pattern Recognition Xiaoyan Tao, Hongbing Ji . . . . . . . . . . . . . . . . . . . G. Srinivasa, S. R. Venugopal, Lalit M. Patnaik . . . 562 A Smoothing Support Vector Machine Based on Exact Penalty Function Zhiqing Meng, Gengui Zhou, Yihua Zhu, Lifang Peng . . . . . . . 568 Speech Acts Tagging System for Korean Using Support Vector Machines Songwook Lee, Jongmin Eun, Jungyun Seo . . . . .

Else kG = (1 + x)G. 9. Return((kG, q)). A Fast Inversion Algorithm and Low-Complexity Architecture over GF (2m ) 5 Table 1. Addition operations in Algorithm I (u1 , u0 ) (0, 1) (0, 1) (1, 1) (1, 1) (v1 , v0 ) (0, 1) (1, 1) (0, 1) (1, 1) Addition k = 0, 1, x, (1 + x) U =U+V R = R + kG + S U = U + V + xV R = R + kG + S + xS U = U + V + xV R = R + kG + S + xS U =U+V R = R + kG + S executes addition operations to make (u1 , u0 ) = (0, 0) at all times, where (u1 , u0 ) is the result of addition. Table 1 shows addition operations that the result (u1 , u0 ) of addition is made up (0, 0).

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Computational Intelligence and Security: International Conference, CIS 2005, Xi’an, China, December 15-19, 2005, Proceedings, Part II by Sosun Kim, Nam Su Chang, Chang Han Kim, Young-Ho Park, Jongin Lim (auth.), Yue Hao, Jiming Liu, Yu-Ping Wang, Yiu-ming Cheung, Hujun Yin, Licheng Jiao, Jianfeng Ma, Yong-Chang Jiao (eds.)


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