Enhanced Framework for Detecting Malicious HTTP Redirections with Supporting Classifier
Abstract:Malicious URL detection has become increasingly difficult due to the evolution of phishing campaigns and efforts to avoid weakening blacklists. The existing state of cybercrime has allowed pirates to host campaigns with smaller lifespan, which reduces the efficacy of the backlist. At the same time, standard supervised learning algorithms are known to generalize in specific patterns observed in the training data, which makes them a better alternative against piracy campaigns. However the highly dynamic environm… Show more
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