DDoS Attack Detection based on Chaos Theory and Artificial Neural Network
نویسنده
چکیده
DDoS attacks temporarily make the target system unavailable to the legitimate users. They don’t steal anything. But they cause big headache for targeted companies and network engineers. Application layer DDoS attacks are difficult to detect because they mimic normal traffic. This paper proposes a novel method of detection of DDoS attacks based on Chaos theory and Artificial neural networks. Keywords— AR model, Botnets, Chaos, DDoS attacks, Neural
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تاریخ انتشار 2014