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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,...
Considering the environmental characteristics of coal mine, we introduced a hierarchy coal mine wireless sensor network (WSN) monitoring system. Then we dug deeply into the correlation between the topological formation time and the topology, depth and capacity of the network. Through the simulation on former analysis, we got a reliable and effective way to further optimize the network.
An anomaly intrusion detection approach based on hybrid MLP/CNN (multi-layer perceptron/chaotic neural network) neural network is proposed in this paper. Most anomaly detection approaches using MLP can detect novel real-time attacks, but still has high false alarm rates. Most attacks are composed of a series of anomaly events. These attacks are called time-delayed attacks, which current neural network...
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