By Shaoquan Jiang, Guang Gong (auth.), Huaxiong Wang, Josef Pieprzyk, Vijay Varadharajan (eds.)
The ninth Australasian convention on details safety and privateness (ACISP 2004) was once held in Sydney, 13–15 July, 2004. The convention used to be backed by way of the Centre for complex Computing – Algorithms and Cryptography (ACAC), details and Networked protection platforms examine (INSS), Macquarie U- versity and the Australian machine Society. Theaimsoftheconferencearetobringtogetherresearchersandpractitioners operating in components of knowledge protection and privateness from universities, and govt sectors. The convention application coated more than a few facets together with cryptography, cryptanalysis, structures and community safeguard. this system committee approved forty-one papers from 195 submissions. The - viewing strategy took six weeks and every paper was once conscientiously evaluated via not less than 3 contributors of this system committee. We relish the exertions of the participants of this system committee and exterior referees who gave many hours in their priceless time. Of the accredited papers, there have been 9 from Korea, six from Australia, ?ve each one from Japan and the united states, 3 every one from China and Singapore, every one from Canada and Switzerland, and one every one from Belgium, France, Germany, Taiwan, The Netherlands and the united kingdom. the entire authors, even if their papers have been authorised, made valued contributions to the convention. as well as the contributed papers, Dr Arjen Lenstra gave an invited speak, entitled most likely and not going development in Factoring. ThisyeartheprogramcommitteeintroducedtheBestStudentPaperAward. The winner of the prize for the easiest scholar Paper used to be Yan-Cheng Chang from Harvard collage for his paper unmarried Database deepest details Retrieval with Logarithmic Communication.
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Additional resources for Information Security and Privacy: 9th Australasian Conference, ACISP 2004, Sydney, Australia, July 13-15, 2004. Proceedings
Sample text
Tzeng and Z. Tzeng, A Public-Key Traitor Tracing Scheme with Revocation Using Dynamic Shares, PKC’01, LNCS 1992, 207–224, 2001. 21. M. J. C. Agee, Key Management for Multicast: Issues and Architectures, IETF Network Working Group, RFC 2627, 1999. 22. K. Wong, M. Gouda and S. Lam, Secure Group Communications Using Key Graphs, ACM SIGCOMM’98, 68–79, 1998. , Dept. , Dept. kr Abstract. A traitor tracing scheme (TTS) deters traitors from giving away their secret keys to decrypt the transmitted data by enabling the system manager to trace at least one of the traitors who participated in the construction of a pirate decoder after confiscating it.
M = g βm . D. Tˆ o and R. Safavi-Naini A message M ∈ Gq is encrypted as r2 g r1 , M g r2 , β1 , . . , βm , hr11 η1r2 , . . , hrm1 ηm where r1 , r2 are random numbers in Zq . Decryption. User i first calculates i = γ (i) · β. If i = 0 then i is revoked. 2 g1r2 ) 1/ (g r1 )ei (i) (i) r2 γ2k (hr11 η1r2 )γ1 . . (hr2k1 η2k ) i =M . The Corrected Kurosawa–Desmedt Scheme If R = {i1 , . . , ic }, 1 ≤ c < 2k, is the revoked user set then in the revocation procedure we need to find a vector β = (β1 , .
N−1, in order to have user i remained valid, the decryption key θ (i) = vi γ (i) must be a DL-representation of the new DL-element y with respect to the new DL-base h1 , . . , h2k . Therefore, a = θ (i) · b = vi (γ (i) · b ), ∀i = 1, . . , n − 1 . Linear Code Implies Public-Key Traitor Tracing with Revocation 33 We want the decryption key of the removed user n, θ (n) = vn γ (n) , to become invalid. That is, the vector θ (n) is not a DL-representation of the new DL-element y with respect to the new DL-base h1 , h2 , .