Hybrid Diagonal Transposition Cipher Model for Securing Data in Software Defined Networks

Abstract

Data is an important asset for every organization and hence this article is proposed to secure data from common breaches in software defined network. In this article, hybrid cipher model is proposed to safeguard the communication of data transmitted among the layers in software defined networks. The logic of hybrid cipher model is incorporated in software defined controller which encrypts open flow request and response messages. Software Defined Network is adapted for implementing hybrid cipher model as the network provides customizable platform and act as a unmanned security featured software controller. The proposed Hybrid Diagonal Transposition algorithm is incorporated with software defined wireless sensing node for encrypting user’s data. Hence the unmanned security featured wireless sensing node is situation-aware, it detects malicious traffic flows and encrypts user’s data. Hybrid Diagonal Transposition algorithm prevents data breaches in Software Defined Networks. Results are interpreted for various network and sensor metrics such as routing hops, participating node temperature, battery voltage, humidity, lights, received packets per node, number of network hops, power consumption, radio duty cycle, temperature of sensors, beacon interval, network hops, routing metric and the same work will be extended in future for comparative results.