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  A Survey on Spam Detection Methodologies in Social Networking Sites  
  Authors : K Subba Reddy; Dr E Srinivasa Reddy
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Conventional media, such as television or newspapers, essentially transmits information in one direction. Social media is a two-way form of communication that allows users to interact with the information being transmitted. Social media encompasses a wide variety of online content, from social networking sites like Facebook . online social networks are becoming popular among internet users. The internet users spend more amount of time on popular networking sites like Facebook, Twitter, google+ etc. Huge information available on these sites attracts the spammers who misuse the valuable information on these sites. Spammers send unwanted messages, share malicious links, develop malicious apps and sometimes create fake accounts. A lot of research has been done to detect spam on social networking sites. In this paper we have reviewed different research papers on spam detection. Our study provides techniques used, dataset and accuracy of various spam detection methodologies.


Published In : IJCSN Journal Volume 6, Issue 4

Date of Publication : August 2017

Pages : 483-488

Figures :07

Tables : 01


K Subba Reddy : Research Scholar, Computer Science and Engineering Acharya Nagarjuna University, Guntur , AP, India.

Dr E Srinivasa Reddy : Principal, Anucet, Computer Science and Engineering Acharya Nagarjuna University, Guntur, Ap, India.


Social Media, Facebook, Twitter, Spammer, Internet

The results of present study revealed that, it is possible to utilize mobile networks and near-infrared technologies to create a system to monitor HBO and HB in the human brain and tissues where it achieved similar results to fMRI. Further work will be required to ensure the system provides reliable results for animals. There are infinite possibilities to integrate these technologies and create cheaper solutions to replace expensive existing solutions by simply utilizing that already exists and synthesizing improvement. However, there are also several challenges in the field of computer science engineering and biomedical physics that need to be addressed to make the system perform as intended.


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