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Robust Iterative Distributed Minimum Total MSE Algorithm for Secure Communications in the Internet of Things Using

Zhengmin Kong1, Die Wang2, Yunjuan Li3

  • 1School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China. zmkong@whu.edu.cn.

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Summary

This study introduces a new algorithm for secure wireless Internet of Things (IoT) networks. It enhances data security in multiple input multiple output (MIMO) systems against eavesdroppers.

Keywords:
IoTMIMO interference channelimperfect channel estimationphysical layer securityrelaytotal MSE

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Area of Science:

  • Wireless communication systems
  • Information security
  • Signal processing

Background:

  • The wireless Internet of Things (IoT) faces security challenges due to simultaneous transmissions and eavesdroppers.
  • Imperfect channel estimation in relay systems can compromise data security.
  • Existing methods may not optimally balance performance and security.

Purpose of the Study:

  • To develop a robust algorithm for secure communications in a two-hop interference channel relay system within the IoT.
  • To jointly optimize source, relay, and destination matrices to minimize mean-squared error (MSE) while ensuring secrecy.
  • To address the challenges of imperfect channel estimation and eavesdropping in a multiple input multiple output (MIMO) network.

Main Methods:

  • A joint design approach for source, relay, and destination matrices was conceived.
  • An efficient robust iterative distributed algorithm was proposed to optimize these matrices.
  • The algorithm's convergence properties were analyzed.
  • Performance was evaluated through simulations, focusing on secrecy rate and MSE.

Main Results:

  • The proposed iterative distributed algorithm effectively simplifies the joint design of optimal matrices.
  • The algorithm ensures that the MSE at the eavesdropper remains above a specified threshold, maintaining secrecy.
  • Simulation results demonstrate the algorithm's superiority over traditional approaches in terms of secrecy rate and MSE.

Conclusions:

  • The developed algorithm ensures secure communications in MIMO interference relay IoT networks.
  • It provides a robust solution for enhancing data security in the presence of eavesdroppers.
  • This work contributes to the advancement of secure wireless communication systems.