Open AccessAn New Efficient Cluster Based Detection Mechanisms for Distributed Denial of Services (DDoS) Attacks
Author(s) -
K. Saravanan,
R. Asokan
Publication year - 2021
Publication title -
international journal of mathematics and computers in simulation
Language(s) - English
Resource type - Journals
ISSN - 1998-0159
DOI - 10.46300/9102.2021.15.27
Subject(s) - denial of service attack , router , computer science , computer network , network packet , core router , application layer ddos attack , computer security , anomaly detection , cluster (spacecraft) , trinoo , tree traversal , the internet , data mining , operating system , algorithm
Cluster aggregation of statistical anomaly detection is a mechanism for defending against denial of service attack (dos) and distributed denial-of-service (DDoS) attacks. DDoS attacks are treated as a congestioncontrol problem; because most of the congestion is occurred in the malicious hosts not follow the normal endto- end congestion control. Upstream routers are also notified to drop such packets in order that the router’s resources are used to route legitimate traffic hence term cluster aggregation. If the victim suspects that the cluster aggregations are solved by most of the clients, it increases the complexity of the cluster aggregation. This aggregation solving technique allows the traversal of the attack traffic throughout the intermediate routers before reaching the destination. In this proposal, the aggregation solving mechanism is cluster aggregation to the core routers rather than having at the victim. The router based cluster aggregation mechanism checks the host system whether it is legitimate or not by providing a aggregation to be solved by the suspected host.