Cryptology and Network Security: 6th International by Fuchun Guo, Yi Mu, Zhide Chen (auth.), Feng Bao, San Ling,

International

By Fuchun Guo, Yi Mu, Zhide Chen (auth.), Feng Bao, San Ling, Tatsuaki Okamoto, Huaxiong Wang, Chaoping Xing (eds.)

This e-book constitutes the refereed court cases of the sixth foreign convention on Cryptology and community protection, CANS 2007, held in Singapore, in December 2007.

The 17 revised complete papers offered have been conscientiously reviewed and chosen from sixty eight submissions. The papers are geared up in topical sections on signatures, community safeguard, safe key-phrase seek and personal info retrieval, public key encryption, intrusion detection, e mail defense, denial of carrier assaults, and authentication.

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Additional info for Cryptology and Network Security: 6th International Conference, CANS 2007, Singapore, December 8-10, 2007. Proceedings

Sample text

With the choices presented in Section 2 (that is, n = 256 and k = 128), and setting z = 10, the public key of the algorithm will be around 320 KB (a list of 2z IzoSign keys plus one signature on the hash), and the first 10 signatures will only require 1152 bits, while the next 100 require about 320 KB (for transmitting the second key block and its signature), and the next 1000 will need 640 KB. 2 MB. One should also note that, since all subtrees and signatures are generated on-the-fly, the memory requirements on the signer does not exceed the memory requirements for two IzoSign signatures.

Otherwise, it outputs Acc and DSC will abort. However, if the algorithm † ∗ CS-Verify outputs Acc, then σCS and σCS will be two different valid ∗ U ndeniable). Due to the signatures of the same message Hk (M ∗ σSC strong unforgeability of Classic-Signature, the probability that DUC can † ∗ U ndeniable), σCS ) is at most . find out the new pair (Hk (M ∗ σSC If DSC does not abort during the simulation, then DUC will output his guess γ which is correct with advantage . DSC will forward γ as his own guess.

There are two practical areas where this algorithm might be found useful: signature generation in sensor networks and inexpensive signature generation devices for everyday use. In sensor networks, the central node might request a signature on a set of measurements that would generate an alert (we only sign important messages, as signing all of the measurements is usually uneconomical because of bandwidth requirements and key exposure). However, most currently existing algorithms are slow on embedded devices to generate signatures in real-time, at the request of the central node.

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