Intrusion Detection in Software Defined Networking Using Snort and Mirroring

Authors

  • Nithya Sampath School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. Author
  • Jayakumar Sadhasivam School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. Author
  • Senthil Jayavel omputer Science and Engineering, Nandha Engineering College, Erode, India Author
  • N. Swetha Chindarmony School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Author
  • Sakshi Sharma School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Author

DOI:

https://doi.org/10.61841/y8jrnd13

Keywords:

Software Defined Networking (SDN), OpenFlow Protocol, Open vSwitch, Snort, Mirroring, Intrusion Detection System (IDS), Denial of Service (DoS) attacks, Distributed Denial of Service (DDoS)attacks, Switched Port Analyser (SPAN)

Abstract

 Software-Defined Networking is a rising concept that aims to replace conventional networks by breaking up vertical integration. The control logic of network is separated from the underlying routers and switches, by logically centralized network control, and to program the network. An intrusion detection system is a software application that keeps track of a system or network for occurrence of any policy violations or malicious activity. Reports are sent to the network administrator or collected centrally using a security information and event management system when there is an occurrence of a malicious activity or policy violations. The aim of this paper is to create an Intrusion Detection System using Snort which is an open-source, free and lightweight application. The concept of the paper is to build an efficient and simplified Intrusion Detection System. First, setup a simple network topology with four virtual machines where three of them are hosts and fourth one is designed to run Snort. 

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Published

31.10.2019

How to Cite

Sampath, N., Sadhasivam, J., Jayavel, S., Chindarmony, N. S., & Sharma, S. (2019). Intrusion Detection in Software Defined Networking Using Snort and Mirroring. International Journal of Psychosocial Rehabilitation, 23(4), 1699-1710. https://doi.org/10.61841/y8jrnd13