To search, Click below search items. |
| All Published Papers Search Service |
|
|
|
Title |
An Enhancement of Advanced Random Time Queue Blocking using Active Queue Management for Mitigating Low-Rate DoS Attacks against Application Servers |
|
Author |
Kavitha Jayabal |
| Citation |
Vol. 26 No. 3 pp. 98-106 |
|
Abstract |
Among different types of Denial-of Services (DoS), the most essential attack is Low-Rate traffic Denial-of-Service (LRDoS) attacks. This type of attacks has the ability to deny the network services by facilitating the vulnerabilities in applications. Various defense mechanisms have been developed against the LRDoS attacks. Among different defense techniques, the Advanced Random Time Queue Blocking with Traffic Prediction (ARTQB-TP) mechanism achieves better performance than the other techniques. However, this approach was not analyzed while the server is in an overflow condition. Hence, in this research paper, the congestion handling mechanism such as Active Queue Management (AQM) scheme is proposed. In this proposed mechanism, Deterministic Fair Sharing (DFS) scheme is incorporated with ARTQB-TP mechanism. The DFS is performed based on the weighted fair share (wfs) for identifying the congestion of the network by dynamically adjusts the router buffer utilization. The flow states are stored by using an efficient data structure like B+tree. Then, the malicious flows are differentiated from legitimate flows by using comprehensive repository and cache. Finally, the experimental results demonstrate that the performance of ARTQB-TP-AQM compared with the other mechanisms. |
|
Keywords |
Denial-of-Service, LRDoS attack, ARTQB-TP, Congestion control, Deterministic Fair Sharing (DFS), Active Queue Management. |
|
URL |
