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A study of clickjacking worm propagation in online social networks

Author: Mohammad R Faghani Affiliation: Department of Computer Science and Engineering, York University, Toronto, Canada; Uyen T Nguyen Affiliation: Department of Computer Science and Engineering, York University, Toronto, Canada
Edition/Format: Chapter Chapter
Summary:
Clickjacking worms exploit online social network features such as Like and Share to propagate themselves in these networks. They trick a user into clicking on something different from what the user intends to click on. We discuss an implementation of such clickjacking malware and the way it propagates in a social network. We present simulation results that characterize the propagation of clickjacking malware in  Read more...
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Details

All Authors / Contributors: Mohammad R Faghani Affiliation: Department of Computer Science and Engineering, York University, Toronto, Canada; Uyen T Nguyen Affiliation: Department of Computer Science and Engineering, York University, Toronto, Canada
ISBN: 978-1-4799-5880-1
Publication:Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014); 68-73; IEEE
DOI: 10.1109/IRI.2014.7051873
Unique Identifier: 5873434268
Awards:

Abstract:

Clickjacking worms exploit online social network features such as Like and Share to propagate themselves in these networks. They trick a user into clicking on something different from what the user intends to click on. We discuss an implementation of such clickjacking malware and the way it propagates in a social network. We present simulation results that characterize the propagation of clickjacking malware in social networks. In particular, user habits of following posted links and the highly clustered structure of online social networks have significant impacts on the propagation speed of clickjacking malware.
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