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Data minimization has become a paradigm to address privacy concerns when collecting and storing personal data. In this paper we present two new approaches, RSTxFM and RRTxFM, to estimate the cardinali...
Multidimensional linear cryptanalysis of block ciphers is improved in this work by introducing a number of new ideas. Firstly, formulae is given to compute approximate multidimensional distributions o...
Side-channel attacks (SCAs) exploit leakage from the physical implementation of cryptographic algorithms to recover the otherwise secret information. In the last decade, popular SCAs like differenti...
Given a list L with n elements, an order query on L asks whether a given element x ∈ L precedes or follows another element y ∈ L. More generally, given a set of m elements from L, an order query asks...
In this paper we propose a method which will preserve sum- mary statistics of data organized in a two way table. We have shown that fully homomorphic encryption is a powerful solution. However it has ...
We ask the question – how can websites and data aggregators continually release updated statistics, and meanwhile preserve each individual user’s privacy? We propose a differentially private continual...
Current work in RFID security focuses mainly on authentication and privacy preserving identification. In this paper, we discuss the possibility of widening the scope of RFID security by introducing...
A block cipher is intended to be computationally indistinguishable from a random permutation of appropriate domain and range. But what are the properties of a random permutation? By the aid of expon...
In recent years there has been massive progress in the development of technologies for storing and processing of data. If statistical analysis could be applied to such data when it is distributed bet...
GNFS (general number field sieve) algorithm is currently the fastest known algorithm for factoring large integers. Up to the present, several running time estimates for GNFS are announced (ex. [LV00...

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