Detection and Blocking Social Media Malicious Posts

Abstract

Abstract-Online Social Networks (OSNs) witness a rise in user activity whenever an event takes place. Malicious entities exploit this spur in user-engagement levels to spread malicious content that compromises system reputation and degrade user experience and has recently been reported to face much abuse through scams and other type of malicious content, especially during news making events. We have reached the era of social media networks represented by Facebook, Twitter, Flicker and YouTube. Internet users spend most of their time on social networks than search engines. Public figures and business entities set up social networking pages to promote direct interactions with the online users. Social media systems heavily depend on users for getting content and sharing. Information used is spread across the social networks in quick and effective manner. However, at the same time social media networks become vulnerable to different types of unwanted and malicious hacker or spammer actions. It has been observed that there is a greater participation in Facebook pages regarding malicious content generation. These contents will be in greater amount as compared to legitimate content. In this work we develop a detection mechanism to distinguish between malicious and genuine posts within seconds after the posts are uploaded by user. This work proposes an extensive way on the basis detection and blocking of malicious posts has been done.

Blockchain Technology Security Issues and Concerns: A Review

“…Miners add the block of transactions in a blockchain and in return they get rewarded. Copy of blockchain is available with nodes in the network depending on the type of node [3].…”