This paper addresses the problem of cache pollution in P2P (Peer-to-peer) systems. P2P traffic has a significant impact on ISPs as it accounts for more than half of the all traffic. This will cause some negative impact on the Internet like network congestion, high latency. P2P caching is an efficient method for handling this problem. Most of the P2P cache systems suffer from Cache Pollution. This research proposes an intelligent cache updation algorithm, which helps in reducing the cache pollution by using the probabilistic approach. The proposed method is evaluated in comparison with Least Frequently Used and Least Recently Used algorithms.