Economics of Vulnerabilities and Security Issues of Social Networking

Abstract

Social media and networks provide enormous facilities and conveniences to the registered users but not free from various threats and attacks. Huge information is produced and posted on social network sites by the large intentionally.  The posted information encompassed large vulnerabilities[1] that leads to cyber-attacks by the social enemies over the Internet for social exploitation or business deeds.  This paper focuses on various unattended and unaware user behavior that leads to vulnerabilities and attacks. Paper also explores various defensive measures to safeguard from social network attacks that are based on user behavior parameters. Further it is also suggested to implement appropriate user behavior model from   various model techniques like Classification, Random Forest, Decision Tree and Support Vector Machine for attack detection on social media and networks.  Performance of different models is evaluated further by using evaluation metrics that will determine the accuracy of different model(s) to be applied finally.