alexa A Robust Defense Scheme for the Detection of Distribut
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

Like us on:
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Special Issue Article

A Robust Defense Scheme for the Detection of Distributed Denial of Service Attack through Web Proxy System

A.Aafreen, Kannan Balasubramanian,M.Tech, Ph.D.
  1. PG Scholar, Dept. of Computer Science, Mepco Schlenk Engineering College, Sivakasi, Tamilnadu, India.
  2. Professor, Dept. of Computer Science, Mepco Schlenk Engineering College, Sivakasi, Tamilnadu, India.
Related article at Pubmed, Scholar Google


Indirect attack has been a serious threat to server security due to their covert nature. Web proxy Distributed Denial of Service Attack is an increasingly common internet phenomenon and is capable of making the internet services unavailable. Such type of attack cannot be easily discovered by most existing defense systems since malicious traffic is hidden in the aggregated traffic. Also the source of the attack traffic and normal traffic cannot be distinguished, because both of them share the same IP of the proxy server. To overcome this problem, a new improved Hidden semimarkov model is proposed. Therefore applying this proposed method protects the origin server from the web proxy based HTTP attacks. Web proxy‘s access behavior can be regarded as the combination of the externally observable behavior and the internal driving mechanism. The internal driving mechanism can be estimated by the observable features of proxy-to-server traffic through the Hidden semi-markov model. Hidden semi-markov model describes the dynamic behavior process of the aggregated traffic. The false positive rate is also detected with respect to the incoming traffic.


Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version