Abstract
The popularity of Social Networks during the last several years have attracted attention of cyber-criminals for spreading of spam and malicious contents. In order to send spam messages to lured users, spammers creating fake profiles, leading to fraud and/or malware campaigns. Sometimes to send malicious messages, cyber-criminals use stolen accounts of legitimate users. Nowadays they are creating short URLs by the short URL service provider and post it on friend’s board. Lured users unknowingly clicking on these links, are redirected to malicious websites. To control such type of activities over Twitter we have calculated a trust score for each user. Based on the trust score, one can decide whether a user is trustable or not. With usage of trust score, we have achieved accuracy of 92.6 % and F-measure of 81 % with our proposed approach.
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Venkatesh, R., Rout, J.K., Jena, S.K. (2017). Malicious Account Detection Based on Short URLs in Twitter. In: Lobiyal, D., Mohapatra, D., Nagar, A., Sahoo, M. (eds) Proceedings of the International Conference on Signal, Networks, Computing, and Systems. Lecture Notes in Electrical Engineering, vol 395. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3592-7_24
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DOI: https://doi.org/10.1007/978-81-322-3592-7_24
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