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Peer-to-Peer [P2P] networks usually has the ability to perform bidirectional communication efficiently, which means both the sending and receiving end has the same transactional power and ability to communicate with one and another. In the modern world, lots of misuses occurred via network schema; now-a-days, most of the malicious activities are held via this kind of P2P data sharing mechanisms, which are held by Botmasters. The botmasters acquire the usage of P2P network and utilize it for their own purposes and make this network to act like malicious one and took the effortness of others. Lots of existing approaches are available, but all are having certain limitations, so a new botnet detection scheme is required to resolve these issues and save the network from this kind of activities, which is called "Scalable Botnet Detection Mechanism". This Scalable Botnet Detection Mechanism initiates its first activity by means of finding the connected systems into the network and make the summary of it. The next step is to manipulate the profile-handling of P2P trafficestimations as well as classify the P2P botnet traffic and legitimate P2P traffic. Simultaneously this system efficiently identifies the performance scenario of the P2P network and makes the system more scalable in further processing. The experimental results proves that our proposed approach is producing the result with more accuracy as well as more scalable than past schemes.

In recent years, penetration of Internet in the world is significantly increased due to technologies that enabled high speed broadband     services, social networking and cloud based services. There is considerable increase in the number of users getting connected and hence large amount of user’s vital data are flowing over Internet attracting serious threats and possible attacks from malicious users. To secure this free-flowing data, many security solutions have been presented, validated and implemented. But the majority of them are             implemented with traditional networking techniques which itself is complex and hard to manage. This techniques primarily relies on manual configuration of devices which often results in policy conflicts that compromises network’s security. This problem is addressed by Software Defined Networking, which breaks vertical integration by separating the control logic and data forwarding functionality, allowing flexible network architecture, network-wide visibility, simpler network management, etc. OpenFlow is the open standard that enables secure communication between controlling devices and data forwarding devices. In this paper, we propose and validate an approach to implement network-wide firewall in SDN by exploiting capabilities of OpenFlow standard to restrict flow of malicious and suspicious traffic flow in the network.