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The most common approach to collect users' secret credentials from phishing websites is to email the credentials to criminals' email addresses which we call drop email addresses. We propose a clustering algorithm, which is based on the assumption that if there is a common drop email address found in the phishing kits from two different phishing websites, then these two websites are directly related...
We consider the design of a linear equalizer with a finite number of coefficients in the context of a classical linear intersymbol-interference channel with additive Gaussian noise for channel estimation. Previous literature has shown that Minimum Bit Error Rate(MBER) based detection has outperformed Minimum Mean Squared Error (MMSE) based detection. We pose the channel estimation problem as a detection...
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