International Journal of Computing and Artificial Intelligence

P-ISSN: 2707-6571, E-ISSN: 2707-658X
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2020, Vol. 1, Issue 2, Part A

Analyzing and detecting of phishing attacks in online social networks


Author(s): Manasa SL

Abstract: Advanced money (nowadays it is extensively called Bitcoin) in online casual networks (OSN) accepts a relentlessly significant activity in supporting diverse cash related activities, for instance, electronic shopping, money exchange, and paid games. This offers uncommon flexibility in trades. Customers when in doubt will get computerized cash using certified money. This reality moves to beguile to accumulate and complete a get-together of records to assemble virtual money deceitfully or unlawfully with no or negligible exertion and a short time later launder the assembled virtual money for the colossal advantage and outrageous damage. Such Vulnerabilities will make a gigantic financial loss of losing customers, what's more, in addition, hurt the reasonableness of the natural system. It is along these lines of central enormity to perceive poisonous OSN accounts that take an interest in washing virtual or motorized money. To this end, we broadly study the exhibitions of both harmful and unimaginable records reliant on advancement data gathered from Tencent QQ, a standout amongst other OSNs on earth. By then, we devise multi-faceted features that portray records from three perspectives including account good instinct, trade groupings, and spatial associations among accounts. Finally, we propose an assertion strategy by masterminding these features using a genuine classifier, through which we can achieve a high unmistakable confirmation pace of 94.2% at a low fake positive pace of 0.97%.

DOI: 10.33545/27076571.2020.v1.i2a.13

Pages: 19-25 | Views: 547 | Downloads: 117

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How to cite this article:
Manasa SL. Analyzing and detecting of phishing attacks in online social networks. Int J Comput Artif Intell 2020;1(2):19-25. DOI: 10.33545/27076571.2020.v1.i2a.13
International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence
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