Online Social Networks in Business Frameworks

12An Investigation on Detection of Botnets in Online Social Networks

P. Nancy^*, A. Devipriya, K. Anitha, D. Vinod and R. Anto Arockia Rosaline

Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur Campus, Chengalpattu, India

Abstract

An online social network (OSN) is a web-based platform that enables users to create a profile including personal information, therefore establishing their identity on the network. Subsequently, subsequent users may engage in mutual interaction, share content, and see the relevant posts, comments, and activities of each other. The widespread accessibility and user-friendly characteristics of online social networks have significantly fueled their rapid expansion. Socialbots are one of the newest and most advanced forms of cybercrime that have taken up residence on social media platforms. Since the inception of OSNs, malicious individuals have used them to engage in a range of illicit activities, including spamming, identity theft, dissemination of false information, and distribution of fraudulent content. Therefore, several strategies have been implemented to tackle these issues. Socialbots pose a significant risk to online social networks (OSNs) because to their heightened sophistication and cunning compared to traditional spammers and bots. Identifying these bots is a challenging and enjoyable task due to their constant evasive behavior. In this chapter, we have presented a comprehensive examination of the ...