Detection of user cluster with suspicious activity in online social networking sites

Kumar A. Sharath, Sanjay Singh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Online social networking sites such as Facebook and Google+ among others are the great way to be in touch with our near and dear ones. Nonetheless, the power of social networking sites can be exploited for the purpose of illegal activities such as planning terrorism related activities or spreading some sorts of hate message in the society. So if there is systems which can identify such activities and the persons involved, then that system will prove to be a boon for the law enforcement people. This paper proposes a system for detection of the sentiments in online messages and comments exchanged over social networking and blogging sites, which monitors communication between users and identify the messages of individuals who exhibits anomalies behavior over time. The proposed system is also able to identify group of people who are discussing about same topics which may be about a suspicious activity.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Advanced Computing, Networking and Security, ADCONS 2013
PublisherIEEE Computer Society
Pages220-225
Number of pages6
ISBN (Print)9780768551272
DOIs
Publication statusPublished - 01-01-2013
Event2nd International Conference on Advanced Computing, Networking and Security, ADCONS 2013 - Surathkal, Karnataka, India
Duration: 15-12-201317-12-2013

Conference

Conference2nd International Conference on Advanced Computing, Networking and Security, ADCONS 2013
CountryIndia
CitySurathkal, Karnataka
Period15-12-1317-12-13

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Sharath, K. A., & Singh, S. (2013). Detection of user cluster with suspicious activity in online social networking sites. In Proceedings - 2nd International Conference on Advanced Computing, Networking and Security, ADCONS 2013 (pp. 220-225). [6714167] IEEE Computer Society. https://doi.org/10.1109/ADCONS.2013.17