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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Wireless sensor networks consist of many tiny sensor nodes which are deployed in various geographical locations for sensing the normal spectacles and also to transmit the collected information to the base station which is also named destination node through multiple nodes present in the network. Most of the existing heuristics algorithms used for finding the optimal routes have limitations in the provision of effective solutions for routing and clustering mechanisms in larger search spaces. Hence, when the search space increases exponentially, the chance of creating the optimal solution for clustering and routing is decreasing and ultimately an un-optimized process depletes the sensor node resources. In order to address the challenges and limitations present in the existing routing systems, two new heuristics algorithms namely gravitational approach based clustering method and a clustered gravitational routing algorithm have been proposed in this paper for providing an optimal solution for efficient clustering and effective routing. Moreover, a fuzzy logic based deductive inference system has been designed and used in this work for selecting the most appropriate nodes as cluster head nodes from the nodes present in each cluster. The simulation results obtained from this work show that the clustering accuracy and the network lifetime are increased and the energy consumption as well as delay are reduced with the application of these proposed algorithms. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

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Computer Science

School of Computer Science and Engineering

Chennai Campus

Department of Database Systems

Wireless Personal Communications

An Energy Efficient Clustered Gravitational and Fuzzy Based Routing Algorithm in WSNs

Intrusion detection systems assume a noteworthy job in the provision of security in wireless Sensor networks. The existing intrusion detection systems focus only on the detection of the known types of attacks. However, it neglects to recognise the new types of attacks, which are introduced by malicious users leading to vulnerability and information loss in the network. In order to address this challenge, a new intrusion detection system, which detects the known and unknown types of attacks using an intelligent decision tree classification algorithm, has been proposed. For this purpose, a novel feature selection algorithm named dynamic recursive feature selection algorithm, which selects an optimal number of features from the data set is proposed. In addition, an intelligent fuzzy temporal decision tree algorithm is also proposed by extending the decision tree algorithm and integrated with convolution neural networks to detect the intruders effectively. The experimental analysis carried out using KDD cup data set and network trace data set demonstrates the effectiveness of this proposed approach. It proved that the false positive rate, energy consumption, and delay are reduced in the proposed work. In addition, the proposed system increases the network performance through increased packet delivery ratio. © The Institution of Engineering and Technology 2020

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IET Communications

Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks

In wireless sensor networks (WSNs), energy optimization and the provision of security are the major design challenges. Since the wireless sensor devices are energy constrained, the issue of high energy consumption by the malicious nodes must be addressed well in order to enhance the network performance by making increased network lifetime, reduced energy consumption and delay. In the past, many researchers worked in the provision of new techniques for providing improved security to WSN in order to enhance the reliability in the routing process. However, most of the existing routing techniques are not able to achieve the required security through the use of intelligent techniques for safeguarding the sensor nodes from malicious attacks. In order to address these problems, a new fuzzy temporal clustering-based secured communication model with trust analysis and outlier detection has been developed in this research work. For this purpose, a new fuzzy temporal rule-based cluster-based routing algorithm with trust modelling and outlier detection for monitoring the nodes participating in the communication has been proposed. In addition, a fuzzy temporal rule- and distance-based outlier detection algorithm is also proposed in this paper for distinguishing the malicious nodes from other nodes within each cluster of the network and has been used in the secured routing algorithm. The proposed secure routing algorithm uses the temporal reasoning tasks of explanation-based learning and prediction as well as spatial constraints for making efficient routing decisions through the application of trust and key management techniques for performing effective authentication of nodes and thereby isolating the malicious nodes from communication through outlier detection. By applying these two proposed algorithms for communication in the proposed work, it is proved through experiments that the proposed secure routing algorithm and the outlier detection algorithm are able to perform secured and reliable routing through genuine cluster head nodes more effectively. Moreover, these two algorithms provide improved quality of service with respect to the reliability of communication, packet delivery ratio, reduction in end-to-end delay and reduced energy consumption. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

Soft Computing

Intelligent fuzzy rule-based approach with outlier detection for secured routing in WSN

Cloud Network has emerged as one of the most adopted technologies both among the end-users and the developers. Despite cloud networks being popular, security in cloud remains a pivotal research challenge and a topic that is much discussed about. Denial of service (DoS) attack is carried out in cloud by one or more perpetrators using multiple compromised nodes to flood a specific target and thereby resulting in unavailability of services. Classification methods can be used effectively to identify attack signature or recurring patterns of such DoS attacks. Therefore, classification using machine learning techniques have been used in this work for feature selection and classification in order to identify the DoS attacks. For this purpose, a new rule based approach for detecting the DoS attacks which uses a domain expert’s knowledge has been proposed in this paper. Moreover, two new algorithms namely Feature Selection Algorithm using Scoring and Ranking and Rule based Classification Algorithm for detecting DoS Attacks are proposed in this paper in which the final classification is carried out by applying the rules from the rule base and is validated using a domain-expert. We have evaluated the proposed system on an experimental set-up on cloud and used real time DoS tools and observed that the proposed method achieved better DoS attack detection accuracy than the existing classification algorithms used for security. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

Cluster Computing

Detection of DoS attacks in cloud networks using intelligent rule based classification system

The Internet of things (IoT) is the collection of smart objects, which it collects the natural phenomena from environment, senses the data and transmits them using machine to machine (M2M) communication. In most of the existing system, providing efficient security in IoT mobile environment is a major concern. The attackers can easily exploit the vulnerability, eavesdrop and masquerade the sensitive information in the network. Because of this, there is a need to provide efficient security analysis in IoT environment. In this work, the enhanced security mechanism is proposed which uses efficient digital forensics tools to identify the threats and we demonstrated how to reconstruct the past events with forensics tools in order to provide digital evidence for legal proceedings. © Springer Nature Singapore Pte Ltd. 2019.

Advances in Intelligent Systems and Computing

Analysis of mobile environment for ensuring cyber-security in IoT-based digital forensics

Wireless Sensor Networks (WSNs) is a distributed collection of tiny wireless nodes which forms an ad hoc network dynamically to sense the natural phenomenon and sent it to the control station. Due to the resource constrained nature of WSN, maximizing the nodes life time is main and challenging issue. In this paper, Fitness Function based Routing Protocol (FFBRP) is proposed which provides the optimal routing to increase the life time of nodes in a network. The proposed protocol selects the fitness functions based on the important routing parameters like nodes energy consumption, nodes life time, packet Delivery ratio of nodes, distance between nodes, end to end delay of nodes and routing overhead of nodes. Based on the combination of selected fitness function parameters, the intelligent rules are generated and the optimal routes are discovered to perform energy efficient effective routing in WSN. By doing so, the proposed protocol provides better performance in terms of network life time and has better Quality of Service (QoS) than other existing techniques. The implementation of the proposed scheme is carried out using Network Simulator (NS2) with mannasim framework. Simulation results justifies that, proposed protocol outperforms the existing techniques and has better Packet Delivery Ratio, throughput, network life time, energy consumption, end to end delay and routing overhead. © 2019, Blue Eyes Intelligence Engineering and Sciences Publication. All rights reserved.

International Journal of Innovative Technology and Exploring Engineering

Energy efficient rule based intelligent routing using fitness functions in wireless sensor networks

When an abnormality is identified in an IoT system or sub-system using change point discovery, a failure prediction dependent on predictive analytic models can distinguish an up-and-coming failure condition ahead of time. In view of this recognition, it can make proactive prescriptive move. This proactive activity in conventional applications is regularly booked support exercises. Although it is workable for us to expect and start activities using IoT sensor information, the edge layer isn't constantly furnished with equipment that can get such guidelines and make the restorative move. We propose a failure prediction dependent on IoT sensor data analytic models that can distinguish an up-and-coming failure condition ahead of time. © 2019 IEEE.

Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019

Machine Learning based Predictive Analysis for failure of monitored control System

Dissemination is a service provided for Wireless Sensor Networks to update the deployed sensor nodes online by using over air programming through radio communication. Since the centralized data dissemination approaches suffer from the limitations of single point of failure, lack of scalability and inability to provide better security they have been replaced by the distributed approaches. In distributed data dissemination, the dissemination privileges are delegated by the network owners to the network users to disseminate the data items on their behalf. In the distributed data dissemination, security is a major concern. The adversaries can easily exploit the security vulnerabilities and launch various security attacks that can disrupt data dissemination process. In this paper we propose the novel Secured-Selective Design Relay Inquiry Protocol (S-SELDRIP) which provides the secured optimal routing by means of hop by hop authentication during data dissemination. The feasibility and efficiency of S-SELDRIP scheme have been analyzed by considering possible vulnerabilities during the data dissemination and the extent to which the proposed scheme is able to withstand them. The proposed protocol is tested in NS2 Mannasim framework and results have taken by measuring the various parameters through repeated simulations. Simulation results justify the viability of the proposed scheme. © 2017, Springer Science+Business Media, LLC.

Wireless Networks

Energy efficient and secured distributed data dissemination using hop by hop authentication in WSN

<a href="https://link.springer.com/article/10.1007/s11277-021-08897-z">Smart Prediction and Monitoring of Waste Disposal System Using IoT and Cloud for IoT Based Smart Cities</a>