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Research Article Open Access
Internet has become a popular medium today. The usage of internet has increased widely. Internet reduces the manual work and also more time consuming .These is the reason why people today are connected to internet. In recent years Online Social Networks (OSNs) also developed well and plays an equal role. People use Online Social Networks (OSNs) to share their view of life. Online Social Networks (OSNs) enables them to connect with their friends and families. Online Social Networks (OSNs) has become an important part of many people life today. Therefore Online Social Networks (OSNs) should be highly secure to protect the individual’s privacy. Though (OSNs) provides the security measures but it was limited. To filter the spam, in this paper, we propose an enhanced filtering measure by using a machine learning technique based on a content filtering.