Malicious software often used means of communication--- tunneling technology, and a HTTP based on C4.5 Tunnel detection algorithm. The algorithm uses a decision support tree algorithm C4.5 extraction of network flow characteristics of the HTTP tunnel classification decision tree detection model, using the classification model checking HTTP tunnel flow field, according to the feature field generated training data provide the basis for the detection of malicious software.

HTTP TUNNEL DETECTING TECHNIQUE.kdh

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