Efficient anomaly detection and mitigation in software defined networking environment

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Abstract
A Computer network or data communication network is a telecommunication network that allows computers to exchange data. Computer networks are typically built from a large number of network devices such as routers, switches and numerous types of middle boxes with many complex protocols implemented on them. They need to accomplish very complex tasks with access to very limited tools. As a result, network management and performance tuning is quite challenging. Software-Defined Networking (SDN) is an emerging architecture purporting to be adaptable, cost-effective, dynamic and manageable pursuing to be suitable for the high-bandwidth, changing nature of today's applications. SDN architectures decouples network control and forwarding functions, making network control to become directly programmable and the underlying infrastructure to be abstracted from applications and network services. The network security is a prominent feature of the network ensuring accountability, confidentiality, integrity, and protection against many external and internal threats. An Intrusion Detection System (IDS) is a type of security software designed to automatically alert administrators when someone or something is trying to compromise information system through malicious activities or through security policy violations. Security violation in SDN environment needs to be identified to prevent the system from an attack. The proposed work aims to detect the attacks on SDN environment. Detecting anomalies on SDN environment will be more manageable and efficient.

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