ï€ SURVEY ON DIGITAL PLATFORM MALICIOUS BOT DETECTION TECHNIQUES AND FEATURES
Author : Kamlesh Kori, Rajesh Ku. Nigam, Dr. Bhupendra Verma [ Volume No.:X, Issue No.III-May 2021] [Page No : 989-992] [2021]
|
|
Digital platform dependency of today era attract promoters to brand product services. So unwanted posting was done by some programs known as a bot. Several researchers have proposed different techniques to identify these bots, which was a post by bot programs. The paper has briefed some of the techniques proposed by the researcher to differentiate human and machine behaviour on social sites. Social site features set also listed in the paper directly or indirectly identify the artificial user (BOT). Recent researcher methodologies were also summarized in this paper.
Contact us
editor[at]ctts[dot]in

Warning: Trying to access array offset on value of type null in C:\xampp\htdocs\ctts\include\ad.php on line 8