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Intelligent Adaptive Optimisation Method for Enhancement of Information Security in IoT-Enabled Environments

Author

Listed:
  • Shailendra Pratap Singh

    (School of Computing Scineces and Engineering, Galgotias University, Greater Noida 201310, India)

  • Youseef Alotaibi

    (Department of Computer Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah 21955, Saudi Arabia)

  • Gyanendra Kumar

    (School of Computing Scineces and Engineering, Galgotias University, Greater Noida 201310, India)

  • Sur Singh Rawat

    (Department of Computer Science and Engineering, Jagadguru Sri Shivarathreeshwara Academy of Technical Education, Noida 201301, India)

Abstract

The usage of the Internet increased dramatically during the start of the twenty-first century, entangling the system with a variety of services, including social media and e-commerce. These systems begin producing a large volume of data that has to be secured and safeguarded from unauthorised users and devices. In order to safeguard the information of the cyber world, this research suggests an expanded form of differential evolution (DE) employing an intelligent mutation operator with an optimisation-based design. It combines a novel mutation technique with DE to increase the diversity of potential solutions. The new intelligent mutation operator improves the security, privacy, integrity, and authenticity of the information system by identifying harmful requests and responses and helping to defend the system against assault. When implemented on an e-commerce application, the performance of the suggested technique is assessed in terms of confidentiality, integrity, authentication, and availability. The experimental findings show that the suggested strategy outperforms the most recent evolutionary algorithm (EA).

Suggested Citation

  • Shailendra Pratap Singh & Youseef Alotaibi & Gyanendra Kumar & Sur Singh Rawat, 2022. "Intelligent Adaptive Optimisation Method for Enhancement of Information Security in IoT-Enabled Environments," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13635-:d:949218
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    References listed on IDEAS

    as
    1. Sur Singh Rawat & Sukhendra Singh & Youseef Alotaibi & Saleh Alghamdi & Gyanendra Kumar, 2022. "Infrared Target-Background Separation Based on Weighted Nuclear Norm Minimization and Robust Principal Component Analysis," Mathematics, MDPI, vol. 10(16), pages 1-22, August.
    2. Salil Bharany & Sandeep Sharma & Sumit Badotra & Osamah Ibrahim Khalaf & Youseef Alotaibi & Saleh Alghamdi & Fawaz Alassery, 2021. "Energy-Efficient Clustering Scheme for Flying Ad-Hoc Networks Using an Optimized LEACH Protocol," Energies, MDPI, vol. 14(19), pages 1-20, September.
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    Cited by:

    1. Ali A. Altalbe & Muhammad Nasir Khan & Muhammad Tahir, 2023. "Design of a Telepresence Robot to Avoid Obstacles in IoT-Enabled Sustainable Healthcare Systems," Sustainability, MDPI, vol. 15(7), pages 1-27, March.

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