Prevention of traffic analysis attack in friend in the middle using dummy traffic approach

Online social network is a platform which makes each individual to be connected with their friends and colleagues. This connectivity encourages the users to share their private information all the way through social networking sites but sharing of personal information on this open platform leads to concern of privacy issues. Personal information available in social networking sites makes the adversary to take undue advantage of data and harm the user by embarrassing them or ruining their reputation. Traffic Analysis is one of the privacy issues which mean pilfering the personal communication between two users. Friend in the Middle (FiM) approach focuses on providing privacy awake social network architecture and extends the current OSNs in such a way that it restricts unnecessary access to the information but it is prone to traffic analysis attacks. In the proposed scheme, dummy traffic approach is used to prevent traffic analysis attack in Friend in the Middle (FiM). Comparison between the existing FiM and the proposed FiM is made using various parameters and enhanced accuracy of the proposed approach with the existing technique is achieved.