DocumentCode :
511129
Title :
Hyper-Elliptic Curves Cryptosystem Based Blind Signature
Author :
Zhou, Xuanwu ; Yang, Xiaoyuan
Author_Institution :
Key Lab. of Network & Inf. Security of the APF, Eng. Coll. of the Chinese Armed Police Force, Xi´´an, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
186
Lastpage :
189
Abstract :
HCC (Hyper-elliptic Curves Cryptosystem) is a typical fast public key cryptosystem; it has much superiority in security and application efficiency. We introduced HCC into the designing and analyzing of blind signature, and presented an improved blind signature scheme based on HCC. By utilizing probabilistic encryption and blinding algorithm, the entrusted signer has no knowledge of the message while generating blind signature. The scheme also avoids the relevance between different digital signatures generated by the same entrusted singer, thus it effectively prevents generalized signature forgery and coalition attack by entrusted singer and out adversaries. The one-way trapdoor function of the scheme is based on HCDLP (Hyper-elliptic Curves Discrete Logarithm Problem), so the algorithms take great advantage of the superiority of HCC, such as high efficiency, short key length and etc. The designing strategy not only reinforces the brevity and security of blind signature but also reduces the system overheads regarding software and hardware application environment.
Keywords :
blind source separation; probability; public key cryptography; generalized signature forgery prevention; hyper elliptic curves cryptosystem based blind signature; hyper elliptic curves discrete logarithm problem; one way trapdoor function; probabilistic encryption; public key cryptosystem; Application software; Educational institutions; Electronic mail; Elliptic curve cryptography; Forgery; Hardware; Information security; Knowledge engineering; Protocols; Public key cryptography; blind signature; coalition attack; hyper-elliptic curves cryptosystem; probabilistic encryption; system efficiency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3916-4
Type :
conf
DOI :
10.1109/KESE.2009.56
Filename :
5383589
Link To Document :
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