By Shaoquan Jiang, Guang Gong (auth.), Huaxiong Wang, Josef Pieprzyk, Vijay Varadharajan (eds.)
The ninth Australasian convention on info defense and privateness (ACISP 2004) used to be held in Sydney, 13–15 July, 2004. The convention used to be subsidized via the Centre for complex Computing – Algorithms and Cryptography (ACAC), details and Networked safeguard structures learn (INSS), Macquarie U- versity and the Australian desktop Society. Theaimsoftheconferencearetobringtogetherresearchersandpractitioners operating in components of data defense and privateness from universities, and govt sectors. The convention software lined various points together with cryptography, cryptanalysis, structures and community safeguard. this system committee accredited forty-one papers from 195 submissions. The - viewing technique took six weeks and every paper used to be conscientiously evaluated by means of a minimum of 3 individuals of this system committee. We enjoy the labor of the contributors of this system committee and exterior referees who gave many hours in their important time. Of the authorized papers, there have been 9 from Korea, six from Australia, ?ve each one from Japan and the us, 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 permitted, made valued contributions to the convention. as well as the contributed papers, Dr Arjen Lenstra gave an invited speak, entitled most probably and not going development in Factoring. ThisyeartheprogramcommitteeintroducedtheBestStudentPaperAward. The winner of the prize for the easiest pupil Paper was once Yan-Cheng Chang from Harvard college for his paper unmarried Database deepest details Retrieval with Logarithmic Communication.
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Extra resources for Information Security and Privacy: 9th Australasian Conference, ACISP 2004, Sydney, Australia, July 13-15, 2004. Proceedings
Log1/2 N as special. It also deﬁnes the collection of levels between (and including) adjacent special levels as a layer. Subset Si,j deﬁned in BLSD satisﬁes at least one of the following additional conditions: both i and j belong to the same layer, or i is located at a special level. Namely, BLSD adopts stricter conditions for subsets than SD. It reduces the number of labels a receiver stores. It has been reported in  that the number of labels for a receiver in BLSD is log3/2 N + 1. Consider two nodes i and j such that j is a descendant of i but do not satisfy either of the above two conditions.
It is also a DL-representation of y with respect to h1 , . . , h2k since, θ (i) · b = vi (γ (i) · b) = vi ei = a. D. Tˆ o and R. Safavi-Naini Encryption: a message M ∈ Gq is encrypted as M y r , hr1 , hr2 , . . , hr2k where r is randomly chosen in Zq . Decryption: Any DL-representation θ ∈ Z2k q of y with respect to h1 , . . , h2k can be used to decrypt M= M yr . (hr1 )θ1 (hr2 )θ2 . . (hr2k )θ2k Decryption key of each user is a DL-representation so they can use it to decrypt the ciphertext.
N ⎜ ⎟ 3 3 3 A = ⎜ 13 ⎟ . 2 3 . . n ⎜ ⎟ ⎜ ⎟ .. ⎝ ⎠ . n−2k−1 n−2k−1 n−2k−1 n−2k−1 1 2 3 ... n Since A has full rank, the equation Ax = 0 has a nullspace of dimension 2k. Let Γ be an n × 2k matrix whose columns are 2k independent solutions x1 , . . , x2k of Ax = 0. Let γ (1) , γ (2) , . . , γ (n) denote the n row vectors of Γ , each of length 2k. The matrix Γ is made public. Choose random b = (b1 , . . , b2k ) ∈ Z2k q . Let Γ ·b = e = (e1 , . . , en ). Let h1 = b1 b2k g , . . , h2k = g . Choose random r1 , .