K.  Saravanan, R.  Asokan, K.  Venkatachalam, 
    Cluster Based Detection Mechanisms for Distributed Denial of Services(DDoS) Attacks,
    International Journal of Soft Computing,
    Volume 10,Issue 4,
    2015,
    Pages 247-253,
    ISSN 1816-9503,
    ijscomp.2015.247.253,
    (https://makhillpublications.co/view-article.php?doi=ijscomp.2015.247.253)
    Abstract: Denial of service attack restricts indented requests from accessing required resources. DoS attacks synchronized by a group of attackers will lead to distributed DoS. This can be tackled by the Cluster Model which will produce anomaly in generated data packet clusters. The attack packets can be detected by proposing a fuzzy based cluster formation which can be applied on both wired and wireless networks. DDoS alert aggregation scheme along with statistical technique is used to generate meta alerts and detect anomalies. Statistical techniques are used to classify packets followed by cluster formation which helps in improving proposed system performance.
    Keywords: DDoS (Distributed Denial of Service Attack);DoS;cluster aggregation;anomalie;meta alerts