Abstract
These days online informal organisation is the well-known and productive stage medium for billions of clients. With the data innovation and systems administration several billions of dynamic clients all around the globe are utilizing the web interpersonal organisations such as Facebook, Twitter, LinkedIn and so on. Online Social Media (OSM) gave platforms to the client to interface, impart and communicate with other individuals. In this paper, online interpersonal organisations (OSN) enlist bots and utilizes photo/imaging frameworks to communicate as corresponding channels between bots. Botnet is the principal that uses the OSN stage as a way to control cell bots. The structure and attributes of OSN make this bot harder to recognize, resilient to bot failure and more cost-effective. Our goal is to bring issues to enlight new botnet that endeavor OSN to enroll bots so that preventive measures can be executed to stop this sort of assault later.
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Singh, N., Chatterjee, M. (2019). A Novel Scheme for Bot Detection in Online Social Media: BotDefender. In: Hemanth, J., Fernando, X., Lafata, P., Baig, Z. (eds) International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018. ICICI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-030-03146-6_12
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DOI: https://doi.org/10.1007/978-3-030-03146-6_12
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