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Performance Analysis of Wireless Information Surveillance in Machine-Type Communication at Finite Blocklength Regime.

Ruonan Dong1, Baogang Li2, Binyang Yan1

  • 1Department of Electronic and Communication Engineering, North China Electric Power University, No. 619, Yong Hua Street, Baoding 071003, China.

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Summary

This study explores legitimate surveillance of Internet of Things (IoT) communications. Researchers found that proactive eavesdropping is effective even at short blocklengths, improving security monitoring.

Keywords:
IoTchannel coding ratefinite blocklengthmachine-type communicationproactive eavesdroppingwireless information surveillance

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Area of Science:

  • Information Security
  • Wireless Communications
  • Network Engineering

Background:

  • The Internet of Things (IoT) enables pervasive sensing and control but introduces security challenges due to potential misuse of machine-type communications.
  • Machine-type communications often involve short packets, making traditional surveillance methods difficult and posing risks of illegal interception.
  • Existing security frameworks struggle to monitor and mitigate threats from illicit machine-type communications in IoT networks.

Purpose of the Study:

  • To investigate the feasibility of a legitimate surveillance system for machine-type communications within the finite blocklength regime.
  • To analyze the effectiveness of proactive eavesdropping for monitoring potentially malicious IoT communications.
  • To develop and evaluate metrics for quantifying surveillance success under constrained communication lengths.

Main Methods:

  • Analysis of channel coding rates for both eavesdropping and suspicious links under finite blocklength constraints.
  • Mathematical modeling to assess eavesdropping capabilities beyond the Shannon capacity limits.
  • Definition and analysis of the 'effective eavesdropping rate' metric, including its monotonicity with respect to signal-to-noise ratio (SNR).

Main Results:

  • Legitimate monitors can successfully eavesdrop on suspicious transmissions even with decreasing blocklengths, outperforming Shannon capacity limits.
  • The study verifies the existence of a maximum effective eavesdropping rate at moderate to high SNRs.
  • Numerical simulations indicate that the maximum effective eavesdropping rate shows a slow but steady increase with blocklength.

Conclusions:

  • Proactive eavesdropping is a viable strategy for legitimate surveillance of IoT machine-type communications, particularly in the finite blocklength regime.
  • The effective eavesdropping rate provides a valuable metric for evaluating surveillance system performance under practical communication constraints.
  • Findings suggest that enhanced monitoring capabilities are achievable even in challenging IoT security scenarios.