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Flow Based Classification for Specification Based Intrusion Detection in Software Defined Networking: FlowClassify

Flow Based Classification for Specification Based Intrusion Detection in Software Defined Networking: FlowClassify

Nithya Sampath, Dinakaran M.
Copyright: © 2019 |Volume: 7 |Issue: 2 |Pages: 8
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781522568278|DOI: 10.4018/IJSI.2019040101
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MLA

Sampath, Nithya, and Dinakaran M. "Flow Based Classification for Specification Based Intrusion Detection in Software Defined Networking: FlowClassify." IJSI vol.7, no.2 2019: pp.1-8. http://doi.org/10.4018/IJSI.2019040101

APA

Sampath, N. & Dinakaran M. (2019). Flow Based Classification for Specification Based Intrusion Detection in Software Defined Networking: FlowClassify. International Journal of Software Innovation (IJSI), 7(2), 1-8. http://doi.org/10.4018/IJSI.2019040101

Chicago

Sampath, Nithya, and Dinakaran M. "Flow Based Classification for Specification Based Intrusion Detection in Software Defined Networking: FlowClassify," International Journal of Software Innovation (IJSI) 7, no.2: 1-8. http://doi.org/10.4018/IJSI.2019040101

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Abstract

Software defined networking assures the space for network management, SDNs will possibly replace traditional networks by decoupling the data plane and control plane which provides security by means of a global visibility of the network state. This separation provides a solution for developing secure framework efficiently. Open flow protocol provides a programmatic control over the network traffic by writing rules, which acts as a network attack defence. A robust framework is proposed for intrusion detection systems by integrating the feature ranking using information gain for minimizing the irrelevant features for SDN, writing fuzzy-association flow rules and supervised learning techniques for effective classification of intruders. The experimental results obtained on the KDD dataset shows that the proposed model performs with a higher accuracy, and generates an effective intrusion detection system and reduces the ratio of attack traffic.

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