TY  - JOUR
T1  - Cluster Based Detection Mechanisms for Distributed Denial of Services(DDoS) Attacks
AU - Saravanan, K. AU - Asokan, R. AU - Venkatachalam, K. 
JO  - International Journal of Soft Computing
VL  - 10
IS  - 4
SP  - 247
EP  - 253
PY  - 2015
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2015.247.253
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2015.247.253
KW  - DDoS (Distributed Denial of Service Attack)
KW  -DoS
KW  -cluster aggregation
KW  -anomalie
KW  -meta alerts
AB  - 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.
ER  -