Information Security and Privacy: 12th Australasian by Steve Babbage, Carlos Cid, Norbert Pramstaller, Håvard

By Steve Babbage, Carlos Cid, Norbert Pramstaller, Håvard Raddum (auth.), Josef Pieprzyk, Hossein Ghodosi, Ed Dawson (eds.)

This e-book constitutes the refereed court cases of the twelfth Australasian convention on details safeguard and privateness, ACISP 2007, held in Townsville, Australia in July 2007.

The 33 revised complete papers provided have been rigorously reviewed and chosen from 132 submissions. The papers are prepared in topical sections on movement ciphers, hashing, biometrics, mystery sharing, cryptanalysis, public key cryptography, authentication, e-commerce, and security.

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Extra info for Information Security and Privacy: 12th Australasian Conference, ACISP 2007, Townsville, Australia, July 2-4, 2007. Proceedings

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Springer, Heidelberg (2005) 7. : LILI-II Keystream Generator. In: ACISP 2002. LNCS, vol. 2384, pp. 25–39. Springer, Heidelberg (2002) 8. : Algebraic attacks on SOBER-t32 and SOBER-t16 without stuttering. , Meier, W. ) FSE 2004. LNCS, vol. 3017, pp. 49–64. Springer, Heidelberg (2004) 9. : Cryptanalysis of Sfinks. , Kim, S. ) ICISC 2005. LNCS, vol. 3935, pp. 261–269. Springer, Heidelberg (2006) 10. : Fast algebraic attacks on stream ciphers with linear feedback. In: Boneh, D. ) CRYPTO 2003. LNCS, vol.

Z255 ), which is much less than the required keystream bits. It is evident that the initialization process used in LILI-128 and LILI-II prevents the direct recovery of the key bits using algebraic attacks, and it prevents the recovery of the key bits even if the state bits can be recovered. An interesting exercise is to investigate partial key guessing. That is guessing u-bits of the k-bit secret key. For a carefully selected subset of key bits, this might reduce the degree of the equations generated during initialization so that algebraic attacks may be successfully applied to the reduced system.

This is the basic outline of the attack. The attackers obtained linear approximations of both the NFSR and the NLF and combined them to build a linear distinguisher with high bias value. In the following subsections we introduce our suggested modification and show that how the attack can be thwarted using this modification. We show that in the modified version the bias of the distinguisher decreases to such a low value that any practical attack using this linear distinguisher is impossible. 7 Analysis of NFSR and NLF As we have not changed the structure of the NFSR, the analysis given in [3] holds.

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