IDS based fake content detection on Social Network Using Bloom Filtering

In Today's Online Social Networks, Spam delivery is the most common issue. In the Receiver Side only Most of the modern spam-filtering Techniques are deployed. They are good at filtering spam for end users, but spam messages still keep wasting Internet bandwidth and the storage space of servers. We use the intrusion detection system to monitor the SMTP sessions in a university campus, and track the number and the uniqueness of the recipients' Online social Networks addresses in the outgoing messages from each individual internal host as the features for detecting spamming bots. Due to the huge number of Spams observed in the SMTP sessions, we store and manage them efficiently in the Bloom filters.