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Detection of UDP and HTTP Anomalies on Real Time Traffic Based on NIDS using OURMON Tool

Authors(2):

Mahendra Kumar Rai, Vijay Shankar Mishra
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UDP traffic has recently been used extensively in flooding-based distributed denial of service (DDoS) attacks, most notably by those launched by the Anonymous group. the use of this criterion to classify UDP traffic with the goal of detecting malicious addresses that launch flooding-based UDP DDoS attacks. We conducted our experiments on real time network traffic including large corporations (edge and core), ISPs, universities, financial institutions, etc. In addition, we also conducted experiments on ourmon tool of our own. All the experiments indicate that proportional packet rate assumption generally holds for benign UDP traffic and can be used as a reasonable criterion to differentiate DDoS and non-DDoS traffic. We designed and implemented a prototype classifier based on this criterion and discuss how it can be used to effectively thwart UDP-based flooding attacks.

Mahendra Kumar Rai, Vijay Shankar Mishra

UDP, DDOS, IDS, HTT, NIDS

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Publication Details

Published in : Volume 1 | Issue 4 | July-August - 2015
Date of Publication Print ISSN Online ISSN
2015-08-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
286-290 IJSRSET151454   Technoscience Academy

Cite This Article

Mahendra Kumar Rai, Vijay Shankar Mishra, "Detection of UDP and HTTP Anomalies on Real Time Traffic Based on NIDS using OURMON Tool", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 4, pp.286-290, July-August-2015.
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