  In this work, we study the problem of privacy preserving computation on
PageRank algorithm. The idea is to enforce the secure multi party computation
of the algorithm iteratively using homomorphic encryption based on Paillier
scheme. In the proposed PageRank computation, a user encrypt its own graph data
using asymmetric encryption method, sends the data set into different parties
in a privacy-preserving manner. Each party computes its own encrypted entity,
but learns nothing about the data at other parties.
