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In this paper the authors present an attack on 7-round AES-128/256 to improve the known cryptanalysis by changing the order of round transformation, using the alternative representation of the round keys, exploiting the relationship of keys, designing the key difference pattern properly. By using the improved attack method, the complexity is reduced from 2192 to 2104 with 272 chosen plaintexts, the...
An efficient frequency domain soft interference cancellation (FD-SIC) scheme is proposed for turbo frequency domain equalization (FDE) in multiple-input multiple-output (MIMO) system. At the transmitter, vertical-bell laboratory layered space-time (VBLAST) is suitable for multiple modulation and coding scheme (MCS) on different antennas, which can also enhance channel capacity. At the receiver, inter-antenna...
A novel Frequency Domain Turbo Equalization (FD-TE) is proposed in multiple input multiple output (MIMO) systems, in which equalization is executed on Single Frequency Tone (SFT). It is proposed that received data from all receive antennas on one frequency tone are considered jointly, and then minimum mean square error (MMSE) equalization is implemented. This algorithm can reduce the calculation complexity...
Secure multi-party computation (SMC) deals with the problem of secure computation among participants who are not trusted by others. Privacy preserving computational geometry is a special area in SMC and has been applied to various of areas such as military, commerce and governments et al. In this paper, we will propose an efficient secure protocol, which is based on numerical computation, for the...
Secure multi-party computation (SMC) is dedicated to solve trust problems in cooperative computing with each participantpsilas private data. Privacy preserving computational geometry (PPCG) is a special area in SMC and is being widely used. This paper investigates the problem of judging whether a point is in a convex hull or not. We firstly present a secure protocol to determine the position of a...
Outlier detection has numerous useful applications such as detecting criminal activities in electronic commerce, terrorism prediction and exceptional cases in many areas. Privacy and security concerns, however, arise while performing mining for outliers on distributed data. In this paper, we present two privacy preserving distance-based outlier detection algorithms over vertically partitioned data,...
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