A trust-based approach for security policies enhancement in dynamic social networks
by Zeineb Dhouioui; Jalel Akaichi
International Journal of Autonomic Computing (IJAC), Vol. 2, No. 2, 2016

Abstract: The sensitive information revealed in social networks is a real threat menacing users' privacy. Hence, trust is required to enhance the security policies in these networks. Motivated by the privacy problems in particular the danger of sexual predators and the disregard of the dynamic aspect of social networks, users popularity and activity which may affect the precision of the expected results of influential users detection, we aim to present a generic model to improve security policies. To do so, we use text mining techniques to distinguish suspicious conversations using lexical and behavioural features classification and to determine influential users having the maximum trust score value. This trust score is calculated using an algorithm called DynamicInflu inspired by the honey bee's foraging behaviour based on popularity and activity parameters. The experiments are performed on real data and the comparison of the DynamicInflu algorithm with commonly used approaches showed a good performance.

Online publication date: Wed, 01-Feb-2017

The full text of this article 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 Autonomic Computing (IJAC):
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 subs@inderscience.com