Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

A trust model with DDoS counter mechanism for grid environment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Varalakshmi, P. ; Dept. of Inf. Technol., Anna Univ., Chennai, India ; Thamarai Selvi, S. ; Malar Kaviya, K.K.

In a grid environment, consumers get services provided by the service providers (SPs). The SPs are registered under one or more brokers and these brokers are registered under one or more regional resource administrators (RRAs) in the proposed hierarchical architecture. The consumers who are in need of services, requests the RRAs by providing their requirements. The RRA selects a suitable trustworthy SP without any biasness which normally occurs in brokers, since it doesn't gain any monetary benefits from each and every individual transaction. Consumers who are requesting for services may be genuine or malicious. In order to capture the malicious consumers who are prone to provide distributed denial of service attacks (DDoS) at the RRA's site, a DDoS defeat engine comprising of authenticators is proposed. The RRA processes only the requests of the genuine consumers and not that of the DDoS consumers, thus increasing the resource utilization on genuine requests. This architecture not only provides a reduced cost-loss to consumers by selecting trustworthy SPs, but it also safeguards the trust of the SPs by accurately identifying the genuineness of the feedbacks provided by the entities (consumers and brokers) with the introduction of pre-evaluation set.

Published in:

Advanced Computing, 2009. ICAC 2009. First International Conference on

Date of Conference:

13-15 Dec. 2009