• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Malware Containment Using Weight based on Incremental PageRank in Dynamic Social Networks


Abstract

Recently, there have been fast-growing social network services based on the Internet environment and web technology development, the prevalence of smartphones, etc. Social networks also allow the users to convey the information and news so that they have a great influence on the public opinion formed by social interaction among users as well as the spread of information. On the other hand, these social networks also serve as perfect environments for rampant malware. Malware is rapidly being spread because relationships are formed on trust among the users. In this paper, an effective patch strategy is proposed to deal with malicious worms based on social networks. A graph is formed to analyze the structure of a social network, and subgroups are formed in the graph for the distributed patch strategy. The weighted directions and activities between the nodes are taken into account to select reliable key nodes from the generated subgroups, and the Incremental PageRanking algorithm reflecting dynamic social network features (addition/deletion of users and links) is used for deriving the high influential key nodes. With the patch based on the derived key nodes, the proposed method can prevent worms from spreading over social networks.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
J. Kong and M. Han, "Malware Containment Using Weight based on Incremental PageRank in Dynamic Social Networks," KSII Transactions on Internet and Information Systems, vol. 9, no. 1, pp. 421-433, 2015. DOI: 10.3837/tiis.2015.01.026.

[ACM Style]
Jong-Hwan Kong and Myung-Mook Han. 2015. Malware Containment Using Weight based on Incremental PageRank in Dynamic Social Networks. KSII Transactions on Internet and Information Systems, 9, 1, (2015), 421-433. DOI: 10.3837/tiis.2015.01.026.

[BibTeX Style]
@article{tiis:20717, title="Malware Containment Using Weight based on Incremental PageRank in Dynamic Social Networks", author="Jong-Hwan Kong and Myung-Mook Han and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2015.01.026}, volume={9}, number={1}, year="2015", month={January}, pages={421-433}}