• MUTALA KESAVA BHARATH KUMAR
• L.SOWJANYA

In a recent survey ,we found that there is a great increase of malicious social bots which are spread on social media communication and it is very difficult for one to disseminate false information (e.g., fake news), and correct information in this real-world consequences. Hence it became very difficult to detect and removing malicious social bots in online social networks. If we come with the primitive detection methods, they used to analyze and detect the malicious social bots based on the quantitative features of their behavior.. Hence in this proposed application we try to identify the malicious bots which are present in the online social network communication by taking some set of pre-defined malicious bots into four categories like : Brutal,Vulgar,Sex And Detestation.Here in this proposed method we try to find out malicious social bots based on features selection as well as from the conversation which is done between individual users. If the conversation contain any of the words which are matched from the above categories then such conversation is immediately identified as malicious bots and such user is treated as malicious user and those details are recorded by the administrator.

DETECT AND PREVENT THE MALICIOUS SOCIAL BOTS BASED ON CLICK STREAM SEQUENCE

"DETECT AND PREVENT THE MALICIOUS SOCIAL BOTS BASED ON CLICK STREAM SEQUENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.1493-1500, April-2021, Available :http://www.jetir.org/papers/JETIR2104404.pdf

"DETECT AND PREVENT THE MALICIOUS SOCIAL BOTS BASED ON CLICK STREAM SEQUENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp1493-1500, April-2021, Available at : http://www.jetir.org/papers/JETIR2104404.pdf