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Random fault attacks against Advanced Encryption Standard (AES) hardware implementation are widely researched. In the previous fault analysis, 6 rounds of attacks are required to recover the correct round-key, which is not efficient enough for extensive analysis. In this paper, a more efficient fault model is proposed. Based on the analysis of theoretical key candidate number, the proposed attack...
In this paper we propose a belief flow model for social networks and evaluate its application on estimation of public converged beliefs. The model reveals that the control of beliefs in a social network heavily depends on its degree centralities and clustering coefficients. The application of this model to social network belief flow simulation leads to a capacity to control and predict the converged...
The estimation of oscillation modes is important to the monitoring and damping of low frequency oscillation in power system. Ambient data caused by low level stochastic disturbances can be used to identify the low frequency oscillation properties. In this paper, the autoregressive moving averaging(ARMA) method is used to analyze the ambient data. As a key step in the ARMA method, the selection of...
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