International Journal of Advanced Research in Computer and Communication Engineering

A monthly peer-reviewed online and print journal

ISSN Online 2278-1021
ISSN Print 2319-5940

Since 2012

Abstract: Online Social Networks (OSNs) have become very popular in recent years, such as Facebook and Twitter, which have been part of many people’s daily life. The project starts as simple study on small social clique model, aiming to deeply understand users’ friendship types and reveal the fundamental reasons why collusion attacks can be done successfully. Based on observations made from this model, we further propose to classify social network users into non-popular users and popular users; develop different attacks strategies against them and illustrate the attack effectiveness in a general social network through different scenarios. Experiment results show that our proposed prevention of   collusion attack strategy has achieved high success rate by using limited number of malicious requestors. However, the rise of social network services is also leading to the increase of unwanted, disruptive information from spammers. Negative effects of social spammers do not only annoy users, but also lead to financial loss and privacy issues. Spammers are prevented using an administrator to approve or disapprove contents.

Keywords: Collusion attacks, Online Social Networks (OSN’s), Spam.


PDF | DOI: 10.17148/IJARCCE.2020.9317

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