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Related Experiment Video

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LDAKM-EIoT: Lightweight Device Authentication and Key Management Mechanism for Edge-Based IoT Deployment.

Mohammad Wazid1, Ashok Kumar Das2, Sachin Shetty3

  • 1Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun 248 002, India.

Sensors (Basel, Switzerland)
|December 19, 2019
PubMed
Summary
This summary is machine-generated.

A new lightweight authentication and key management scheme for the edge based Internet of Things (IoT) environment (LDAKM-EIoT) enhances security. This scheme provides robust protection against attacks with lower communication and computation costs.

Keywords:
AVISPAInternet of Things (IoT)NS2 simulationauthenticationedge computingkey managementsecurity

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Engineering

Background:

  • Edge computing is crucial for emerging technologies like 5G and IoT, offering cloud services closer to users.
  • Open communication in edge-based IoT environments presents significant security vulnerabilities to adversaries.
  • Device authentication is vital for secure mutual authentication between IoT devices and cloud servers via edge nodes.

Purpose of the Study:

  • To introduce a novel device authentication and key management mechanism for edge-based IoT environments.
  • To address the security vulnerabilities inherent in open communication within edge-based IoT infrastructures.
  • To propose a scheme that ensures secure communication through mutual authentication and session key establishment.

Main Methods:

  • Design of the lightweight authentication and key management scheme for the edge based IoT environment (LDAKM-EIoT).
  • Formal security analysis and verification using the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool.
  • Comparative analysis against existing schemes and network performance evaluation using NS2 simulation.

Main Results:

  • LDAKM-EIoT demonstrates security against identified attack vectors in edge-based IoT environments.
  • The proposed scheme offers enhanced security compared to related schemes.
  • LDAKM-EIoT achieves lower communication and computation costs.
  • NS2 simulations confirm the practical performance benefits of LDAKM-EIoT.

Conclusions:

  • The LDAKM-EIoT scheme provides a secure and efficient solution for authentication and key management in edge-based IoT.
  • Formal verification and comparative analysis confirm its robustness and cost-effectiveness.
  • The scheme is well-suited for practical deployment in securing edge computing environments.