Enhancing Physical Layer Security in LEO Satellite-Enabled IoT Network Communications

TL;DR

This paper introduces a stochastic geometry-based analytical framework to evaluate physical layer security in LEO satellite IoT networks, addressing challenges like dynamic topology and interference, and assesses strategies like artificial noise and constellation design.

Contribution

It is the first to apply stochastic geometry to analyze PLS in satellite IoT networks, deriving low-complexity expressions for key security metrics and evaluating the impact of various parameters.

Findings

Artificial Noise improves secure communication probability.

Constellation configuration significantly affects security metrics.

Analytical expressions enable efficient security performance evaluation.

Abstract

The extensive deployment of Low Earth Orbit (LEO) satellites introduces significant security challenges for communication security issues in Internet of Things (IoT) networks. With the rising number of satellites potentially acting as eavesdroppers, integrating Physical Layer Security (PLS) into satellite communications has become increasingly critical. However, these studies are facing challenges such as dealing with dynamic topology difficulties, limitations in interference analysis, and the high complexity of performance evaluation. To address these challenges, for the first time, we investigate PLS strategies in satellite communications using the Stochastic Geometry (SG) analytical framework. We consider the uplink communication scenario in an LEO-enabled IoT network, where multi-tier satellites from different operators respectively serve as legitimate receivers and eavesdroppers. In this scenario, we derive low-complexity analytical expressions for the security performance metrics, namely availability probability, successful communication probability, and secure communication probability. By introducing the power allocation parameters, we incorporate the Artificial Noise (AN) technique, which is an important PLS strategy, into this analytical framework and evaluate the gains it brings to secure transmission. In addition to the AN technique, we also analyze the impact of constellation configuration, physical layer parameters, and network layer parameters on the aforementioned metrics.