A Statistical Approach To Detect Denial Of Service Attacker
Author(s):
Maria Mathew , MA College of Engineering & Technology, KothamangalamKeywords:
Entropy variation; Denial of serviceAbstract:
Distributed Denial-of-Service (DDoS) attacks are a critical threat to the Internet. A distributed denial-of-service attack is one in which a multitude of compromised systems attack a single target, thereby causing denial of service for users of the targeted system. The flood of incoming messages to the target system essentially forces it to shut down, thereby denying service to the system to legitimate users. The proposed system suggests a mechanism based on entropy variations between normal and DDoS attack traffic. Entropy is an information theoretic concept, which is a measure of randomness. The proposed method employs entropy variation to measure changes of randomness of flows. The implementation of the proposed method brings no modifications on current routing software.
Other Details:
| Manuscript Id | : | J4RV2I1017 |
| Published in | : | Volume : 2, Issue : 1 |
| Publication Date | : | 01/04/2016 |
| Page(s) | : | 42-45 |
