Improved Blowfish Algorithm-Based Secure Routing Technique in IoT-Based WSN

Abstract

Internet of Things (IoT) has gained popularity with the growth and prospects of smart networks. It is intended to exploit the network edges, which enables smart service and assessment for IoT. Moreover, this exploitation not only improves the user experiences but also provides service resiliencies at any catastrophe. The IoT appliances deploy distributed structure and proximity of end-users to offer quicker responses and improved quality of service (QoS). Nevertheless, security is mainly considered to resist the susceptibility of attacks. This work aims to introduce a novel secure routing model by carrying out optimal path selection and encryption. Initially, optimal link-state multipath routing takes place, where optimal paths or nodes are chosen for secure transmission. For optimal path selection destination and source, a Crossover Mutated Marriage in Honey Bee (CM-MH) algorithm is developed and proposed in this work. Next, encryption takes place that ensures secure transmission. In this research, an Improved Blowfish algorithm (IBFA) is proposed for secured authentication. Finally, the updates are monitored. At last, the supremacy of the developed approach is examined via evaluation over numerous existing techniques.

Keywords

• Internet of Things
• optimal path
• QoS
• improved blowfish
• CM-MH algorithm