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A novel measure for low-rate and high-rate DDoS attack detection using multivariate data analysis
2016
2016 8th International Conference on Communication Systems and Networks (COMSNETS)
A Distributed Denial of Service (DDoS) attack is a major security threat for networks and Internet services. Attackers can generate attack traffic similar to normal network traffic using sophisticated attacking tools. In such a situation, many intrusion detection systems fail to identify DDoS attack in real time. However, DDoS attack traffic behaves differently from legitimate network traffic in terms of traffic features. Statistical properties of various features can be analyzed to distinguish
doi:10.1109/comsnets.2016.7439939
dblp:conf/comsnets/HoqueBK16
fatcat:pp63qsux6rdjphe2o6jcdsixpq