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Physical Layer Security for Sensing-Communication-Computing-Control Closed Loop: A Systematic Security Perspective

Chengleyang Lei, Wei Feng, Yunfei Chen, Jue Wang, Ning Ge, Shi Jin, Tony Q. S. Quek

TL;DR

The closed-loop negentropy (CNE), a new metric for the performance of the whole SC3 closed loop, is maximized under the closed-loop security constraint.

Abstract

In industrial automation or emergency rescue, sensors and robots work together with the help of an edge information hub (EIH) containing both communication and computing modules. Typically, the EIH collects the sensing data via the sensor-to-EIH link, processes data and then makes decisions on board before sending commands to the robot via the EIH-to-robot link. This forms a sensing-communication-computing-control (SC3) closed loop. In practice, the inherent openness of wireless links within the closed loop leads to susceptibility to eavesdropping. To this end, this paper refines the conventional physical layer security (PLS) approach with a systematic thinking to safeguard the SC3 closed loop. The closed-loop negentropy (CNE), a new metric for the performance of the whole SC3 closed loop, is maximized under the closed-loop security constraint. The transmit time, power, bandwidth of both wireless links, and the computing capability, are jointly designed. The optimization problem is non-convex. We leverage the Karush-Kuhn-Tucker (KKT) conditions and the monotonic optimization (MO) theory to derive its globally optimal solution. Simulation results show the performance gain of the proposed systematic approach, and reveal the advantage of exploiting the closed-loop structure-level PLS over the link-level or sum-link-level designs.

Physical Layer Security for Sensing-Communication-Computing-Control Closed Loop: A Systematic Security Perspective

TL;DR

The closed-loop negentropy (CNE), a new metric for the performance of the whole SC3 closed loop, is maximized under the closed-loop security constraint.

Abstract

In industrial automation or emergency rescue, sensors and robots work together with the help of an edge information hub (EIH) containing both communication and computing modules. Typically, the EIH collects the sensing data via the sensor-to-EIH link, processes data and then makes decisions on board before sending commands to the robot via the EIH-to-robot link. This forms a sensing-communication-computing-control (SC3) closed loop. In practice, the inherent openness of wireless links within the closed loop leads to susceptibility to eavesdropping. To this end, this paper refines the conventional physical layer security (PLS) approach with a systematic thinking to safeguard the SC3 closed loop. The closed-loop negentropy (CNE), a new metric for the performance of the whole SC3 closed loop, is maximized under the closed-loop security constraint. The transmit time, power, bandwidth of both wireless links, and the computing capability, are jointly designed. The optimization problem is non-convex. We leverage the Karush-Kuhn-Tucker (KKT) conditions and the monotonic optimization (MO) theory to derive its globally optimal solution. Simulation results show the performance gain of the proposed systematic approach, and reveal the advantage of exploiting the closed-loop structure-level PLS over the link-level or sum-link-level designs.
Paper Structure (17 sections, 6 theorems, 49 equations, 12 figures, 2 tables, 2 algorithms)

This paper contains 17 sections, 6 theorems, 49 equations, 12 figures, 2 tables, 2 algorithms.

Table of Contents

  1. Introduction
  2. Related Works
  3. Main Contributions and Organization
  4. System Model and Problem Formulation
  5. System Model
  6. Problem Formulation
  7. Problem Simplification
  8. Algorithms to solve Problem \ref{['P2']}
  9. Superior Legitimate Channel Case
  10. Other Channel Cases
  11. Summary
  12. Simulation Results
  13. Conclusion
  14. Proof of Proposition \ref{['Prop1']}
  15. Proof of Proposition \ref{['Prop2']}
  16. ...and 2 more sections

Key Result

Lemma 1

The optimal solutions to P1 satisfy the equations

Figures (12)

  • Figure 1: Illustration of an $\textbf{SC}^3$ closed loop consisting of a sensor, an EIH, and a robot. The EIH is elevated on a UAV, and telecontrolled by a dedicated satellite link. One eavesdropper wiretaps both the sensor-to-EIH and EIH-to-robot links, to accordingly crack the task information.
  • Figure 2: Geometric illustration of the outer polyblock approximation algorithm procedure for a two-dimensional MO problem.
  • Figure 3: The CNE achieved by different schemes varying with the bandwidth constraint.
  • Figure 4: The CNE achieved by different schemes varying with the uplink power constraint.
  • Figure 5: The CNE achieved by different schemes varying with the closed-loop eavesdropped information threshold.
  • ...and 7 more figures

Theorems & Definitions (14)

  • Lemma 1
  • Proof
  • Proposition 1
  • Proof
  • Lemma 2
  • Proof
  • Proposition 2
  • Proof
  • Remark 1
  • Lemma 3
  • ...and 4 more