Efficient modular exponentiation-based puzzles for denial-of-service protection
Rangasamy, Jothi, Stebila, Douglas, Kuppusamy, Lakshmi, Boyd, Colin, & Gonzalez Nieto, Juan M. (2012) Efficient modular exponentiation-based puzzles for denial-of-service protection. Lecture Notes in Computer Science, 7259, pp. 319-331.
Client puzzles are moderately-hard cryptographic problems neither easy nor impossible to solve that can be used as a counter-measure against denial of service attacks on network protocols. Puzzles based on modular exponentiation are attractive as they provide important properties such as non-parallelisability, deterministic solving time, and linear granularity. We propose an efficient client puzzle based on modular exponentiation. Our puzzle requires only a few modular multiplications for puzzle generation and verification. For a server under denial of service attack, this is a significant improvement as the best known non-parallelisable puzzle proposed by Karame and Capkun (ESORICS 2010) requires at least 2k-bit modular exponentiation, where k is a security parameter. We show that our puzzle satisfies the unforgeability and difficulty properties defined by Chen et al. (Asiacrypt 2009). We present experimental results which show that, for 1024-bit moduli, our proposed puzzle can be up to 30 times faster to verify than the Karame-Capkun puzzle and 99 times faster than the Rivest et al.'s time-lock puzzle.
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|Item Type:||Journal Article|
|Additional Information:||This paper has been accepted and presented at the 14th International Conference on Information Security and Cryptology- ICISC 2011, November 30-December 2, 2011, Seoul, Korea. The pre-proceedings were given to the attendees but the main proceedings being published by Springer in LNCS series will be available online soon. More details can be found at http://www.icisc.org.|
|Keywords:||client puzzles, RSA, time-lock puzzles, denial of service resistance, puzzle difficulty|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer System Security (080303)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science|
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2011 Springer|
|Copyright Statement:||The definitive work is available from http://www.springerlink.com/|
|Deposited On:||23 Dec 2011 09:20|
|Last Modified:||03 Oct 2012 16:54|
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