Shaik Abdul Hameed1, Javangula Vamsinath2, M.Venkata Krishna Rao3, Shaik Mabasha4 , Stalin David D5

12 3 Assistant Professor, Department of CSE, Vnr Vignana Jyothi Institute of Engineering & Technology, Hyderabad

4 Assistant Professor, Department of IT, Bapatla Engineering College, Bapatla

5Associate Professor, Department of IT, Veltech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, 600062, Tamil Nadu

abdulhameed_sk@vnrvjiet.in1, vamsinath_j@vnrvjiet.in2, venkatakrishnarao_cse@vnrvjiet.in3, mabashapec@gmail.com4, sdstalindavid707@gmail.com5


Researchers were drawn to the discovery of spam on social networking sites. Spam detection is a difficult task in keeping social networks secure. To protect users from all types of dangerous assaults and to maintain their security and privacy, it is critical to spot spam on social networking sites. Spammers’ risky manoeuvres result in significant community destruction in the true world. On Twitter, spammers have a variety of aims, including distributing false information, fake news, rumours, and spontaneous comments. Spammers achieve their destructive goals using adverts and a variety of other methods, such as supporting several mailing lists and then sending spam messages at random to broadcast their interests. The original users, also referred to as non-spammers, find these behaviours annoying.