Privacy Preserving of Collaborative Data Publishing with M-Privacy
In this paper, the authors deal with a new attack called insider attack. This attack is led by data provider or many data providers colluding together called m-adversary. In this paper, they focus on the collaborative data publishing. With this paper they present the collaborative data in anonymized form. They solve the problem of insider attack i.e. possibility of attack by the data providers themselves. Standard algorithms are used for encryption Rivest-Shamir-Adleman (RSA). The anonymization is performed by displaying only the needed data as per the constraints specified.