Recently, Internet of Things (IoT) devices are highly utilized in diverse fields such as environmental monitoring, industries, smart home etc. Under such instance, a cluster head is selected among the diverse IoT devices of wireless Sensor Network (WSN) based IoT network to maintain the reliable network with efficient data transmission. To accomplish the efficient cluster head selection, we have used Fuzzy C-Means (FCM) clustering algorithm. Therefore, it is necessary to implement secure energy aware routing protocol in IoT. This paper proposed a novel method with the combination of Optimal Secured Energy Aware Protocol (OSEAP) and Improved Bacterial Foraging Optimization (IBFO) algorithm. The aforesaid challenges against the secure energy awareness objective under IoT are not yet dealt by any researchers. Furthermore, the Optimal Secured Energy Aware Protocol (OSEAP) and Improved Bacterial Foraging Optimization (IBFO) algorithm is one of the best methods to save more energy with security among the nodes. The performance analysis in terms of delay, throughput, and energy determined by comparing the proposed method with the existing method Secure Energy aware routing protocol (SEAP). Thus, the analysis of our implementation reveals the superior performance of the proposed method.

Praveen Kumar Reddy Maddikunta

Department of Information Technology

School of Information Technology and Engineering

Vellore Campus

Rajasekhara Babu M

School of Computer Science and Engineering

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

International Journal of Intelligent Engineering and Systems

Routing in the Internet of Things (IoT) renders the protection against various network attacks as any attacker intrudes the routing mechanism for establishing the destructive mechanisms against the network, which insists the essentiality of the security protocols in IoT. Thus, the paper proposes a secure protocol based on an optimization algorithm, Monarch-Earthworm Algorithm (Monarch-EWA), which is the modification of the Monarch Butterfly algorithm using the Earthworm Optimization Algorithm (EWA) in order to render effective security to the network. Initially, the effective nodes are selected using the Deep Convolutional Neural Network (deep CNN) classifier based on the factors, trust and energy of the node, and stochastic gradient descent algorithm trains the deep CNN classifier. The secure nodes are involved in routing for which the secure multipath is chosen optimally using the proposed Monarch-EWA, which chooses the secure multipath based on the factors, energy and trust. The analysis of the proposed method in the presence of attacks, such as black hole, message replicate and distributed denial of service, reveals that the proposed method outperformed the existing methods. The proposed Monarch-EWA protocol acquired the maximal energy, throughput and detection rate of 0.2268 J, 48.2759% and 82.6231%, respectively, with the minimal delay of 0.0959 ms.

The Computer Journal

Monarch-EWA: Monarch-Earthworm-Based Secure Routing Protocol in IoT

Computer Communications

A deep neural networks based model for uninterrupted marine environment monitoring

The Computer Journal, Oxford University Press UK

An Evolutionary Secure Energy Efficient Routing Protocol in Internet of Things

Journal	International Journal of Intelligent Engineering and Systems
Publisher	The Intelligent Networks and Systems Society
ISSN	2185310X
Open Access	0