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In the MANETs (Mobile Ad Hoc Networks), attack detection in Location Aided Routing (LAR) has become a challenging problem due to the dynamic network topology and diverse routing attacks. This paper proposes a universal framework to analyze and detect attack traces for various potential attack targets. In this framework, the attack targets are identified by matching key events, and a reverse search...
Small world network is a type of mathematical graph, in which most nodes are not neighbors of one another, but can be reached from every other by a small number of hops. P2P network is a typical small world network, it has a large scale and high risks, so trust model building and Trust Path Selecting (TPS) become big challenges. To solve TPS problem, we first reduce the scale of the complex P2P network...
Through the Fourier analysis of input image, we could obtain its power spectrum which implies image texture. Further the ring and the wedge attributes of this spectrum could be defined. The ring attribute could describe the density of image texture. The wedge attribute could describe the direction of image texture. Therefore, the algorithm proposed could detect image edges based on texture adaptively,...
A spectral clustering intrusion detection approach is presented in this paper. The basic idea of the approach is to compute the similarities between the training data points, then to construct the affinity matrix, and to get the clusters according the main eigenvector of this affinity matrix. With the classified data instances, anomaly data clusters can be easily identified by normal cluster ratio...
This paper presents a unified threat model for assessing threat in web applications. We extend the threat tree model with more semantic and context information about threat to form the new model which is used to analyze and evaluate threat in the software design stage. We utilize historical statistical information contained in this model to design threat mitigation schemes. The threat assessing results...
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