An Approach to Prevent Neighborhood Attack over Social Media

Social media sites contain the personal information of the users, which entice the attackers The attacker uses several types of attacks on the social networking site in order to obtain sensitive information from the users. To protect users from active and passive social media attacks, the network operator releases anonymized data. Various third-party consumers receive data collected from social media users from operators of these platforms. The whole graph is made available in anonymized and sanitised forms by the network operator because the acquired data often contains sensitive information. But it isn't a foolproof method of keeping users' information private. In order to make social network graphs anonymous, this study developed a method based on neighbourhood adjacency matrices. One potential defence against the neighbourhood assault on social network graphs is this anonymization process. The proposed anonymization method raises the quantity of isomorphic neighbourhood networks by introducing fictitious edges into the social network graph. This means that a social network graph cannot re-identify a person based on their distinct local area network.