Intelligent dynamic trust secure attacker detection routing for WSN-IoT networks

B. Kiruthika; Shyamala Bharathi P; B. Kiruthika; Shyamala Bharathi P

doi:10.3934/mbe.2023198

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 2: 4243-4257. doi: 10.3934/mbe.2023198

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Research article Special Issues

Intelligent dynamic trust secure attacker detection routing for WSN-IoT networks

B. Kiruthika ^,,
Shyamala Bharathi P

Department of ECE, Saveetha school of engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India

Academic Editor: Hamid Reza Karimi

Received: 11 October 2022 Revised: 18 November 2022 Accepted: 25 November 2022 Published: 21 December 2022

Introduction
IoT networks require a variety of safety systems, because of evolving new technologies. They are subject to assaults and require a variety of security solutions. Because of the sensor nodes' limited energy, compute capabilities and storage resources, identifying appropriate cryptography is critical in wireless sensor networks (WSN).
Objective
So, we need a new energy-aware routing method with an excellent cryptography-based security framework that fulfills critical IoT needs such as dependability, energy efficiency, attacker detection and data aggregation.
Methods
Intelligent dynamic trust secure attacker detection routing (IDTSADR) is a novel energy-aware routing method suggested for WSN-IoT networks. IDTSADR fulfills critical IoT needs such as dependability, energy efficiency, attacker detection and data aggregation. IDTSADR is an energy-efficient routing technique that discovers routes that use the least amount of energy for end-to-end packet traversal and improves malicious node detection. Our suggested algorithms take connection dependability into account to discover more reliable routes, as well as a goal of finding more energy-efficient routes and extending network lifespan by finding routes with nodes with greater battery charge levels. We presented a cryptography-based security framework for implementing the advanced encryption approach in IoT.
Conclusion
Improving the algorithm's encryption and decryption elements, which currently exist and provide outstanding security. From the below results, we can conclude that the proposed method surpasses the existing methods, this difference obviously prolonged the lifetime of the network.
- WSN,
- IDTSADR,
- IOT networks,
- security,
- attacker detection,
- data aggregation,
- cryptography
Citation: B. Kiruthika, Shyamala Bharathi P. Intelligent dynamic trust secure attacker detection routing for WSN-IoT networks[J]. Mathematical Biosciences and Engineering, 2023, 20(2): 4243-4257. doi: 10.3934/mbe.2023198

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Abstract

Introduction

IoT networks require a variety of safety systems, because of evolving new technologies. They are subject to assaults and require a variety of security solutions. Because of the sensor nodes' limited energy, compute capabilities and storage resources, identifying appropriate cryptography is critical in wireless sensor networks (WSN).

Objective

So, we need a new energy-aware routing method with an excellent cryptography-based security framework that fulfills critical IoT needs such as dependability, energy efficiency, attacker detection and data aggregation.

Methods

Intelligent dynamic trust secure attacker detection routing (IDTSADR) is a novel energy-aware routing method suggested for WSN-IoT networks. IDTSADR fulfills critical IoT needs such as dependability, energy efficiency, attacker detection and data aggregation. IDTSADR is an energy-efficient routing technique that discovers routes that use the least amount of energy for end-to-end packet traversal and improves malicious node detection. Our suggested algorithms take connection dependability into account to discover more reliable routes, as well as a goal of finding more energy-efficient routes and extending network lifespan by finding routes with nodes with greater battery charge levels. We presented a cryptography-based security framework for implementing the advanced encryption approach in IoT.

Conclusion

Improving the algorithm's encryption and decryption elements, which currently exist and provide outstanding security. From the below results, we can conclude that the proposed method surpasses the existing methods, this difference obviously prolonged the lifetime of the network.

References

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