The full text of this article


Handling and analysis of fake multimedia contents threats with collective intelligence in P2P file sharing environments
by ByungRae Cha; JongWon Kim
International Journal of Grid and Utility Computing (IJGUC), Vol. 4, No. 1, 2013


Abstract: In this paper, we discuss the question of removing fake multimedia content files, intentionally manipulated by a group of attackers. By employing the un-biased collective intelligence of participating P2P (peer-to-peer) nodes, we identify and remove fake multimedia content files based on the reputation management. The proposed scheme determines the reputation value according to the trustworthiness (along with confidence) of multimedia content files, which are statistically drawn by collectively relating the decision making of individual peers about each multimedia content file. To verify this, we simulate the detection and recovery of the proposed reputation management that employs K-means and LBG clustering algorithms over colluded attackers.

Online publication date: Sun, 16-Jun-2013


is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Grid and Utility Computing (IJGUC):
Login with your Inderscience username and password:


    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email