[Paper Review] Low Earth Orbit Satellite Security and Reliability: Issues, Solutions, and the Road Ahead

Pingyue Yue, Jianping An+6 more|arXiv (Cornell University)|Jan 9, 2022

Space Satellite Systems and Control4 citations

TL;DR

This paper provides a comprehensive analysis of security and reliability challenges in Low Earth Orbit (LEO) satellite communication systems (SCSs), proposing integrated solutions through physical layer security, AI-driven detection, and advanced monitoring. It identifies key threats like eavesdropping, DoS attacks, and space debris, and offers design guidelines for resilient, secure LEO SCSs with future research directions in ISAC, computer vision, and mega-constellations.

ABSTRACT

Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-increasing user demands, reduced costs, and technological progress. Since there is a paucity of literature on the security and reliability issues of LEO Satellite Communication Systems (SCSs), we aim to fill this knowledge gap. Specifically, we critically appraise the inherent characteristics of LEO SCSs and elaborate on their security and reliability requirements. In light of this, we further discuss their vulnerabilities, including potential security attacks launched against them and reliability risks, followed by outlining the associated lessons learned. Subsequently, we discuss the corresponding security and reliability enhancement solutions, unveil a range of trade-offs, and summarize the lessons gleaned. Furthermore, we shed light on several promising future research directions for enhancing the security and reliability of LEO SCSs, such as integrated sensing and communication, computer vision aided communications, as well as challenges brought about by mega-constellation and commercialization. Finally, we summarize the lessons inferred and crystallize the take-away messages in our design guidelines.

Motivation & Objective

• Address the critical lack of literature on security and reliability in LEO satellite communication systems (SCSs).
• Identify inherent vulnerabilities in LEO SCSs due to high mobility, low Earth orbit, and open access characteristics.
• Systematically classify security threats (e.g., eavesdropping, DoS) and reliability risks (e.g., collisions, SEUs) in LEO SCSs.
• Propose and evaluate security and reliability enhancement solutions, including physical layer security and space situational awareness.
• Outline future research directions such as integrated sensing and communication (ISAC), computer vision-aided communications, and challenges from mega-constellations and commercialization.

Proposed method

• Conduct a critical appraisal of LEO SCS characteristics, including orbital dynamics, high mobility, and limited on-board resources, to identify inherent security and reliability challenges.
• Categorize security attacks into eavesdropping, DoS, and spoofing, and reliability risks into space debris collisions, SEUs, and interference from other systems.
• Propose physical layer security (PLS) techniques such as artificial noise (AN) and beamforming to enhance confidentiality and reduce eavesdropping.
• Introduce space-borne radar (SBR) and space-borne camera (SBC) systems for real-time debris detection and collision avoidance.
• Implement machine learning (ML) and intrusion detection systems (IDS) for anomaly detection and threat mitigation in LEO SCSs.
• Integrate design guidelines based on trade-offs between performance, complexity, and resilience, emphasizing low-latency, high-reliability operation.

Experimental results

Research questions

• RQ1 What are the primary security threats and reliability risks affecting LEO satellite communication systems due to their unique orbital and operational characteristics?
• RQ2 How can physical layer security techniques such as artificial noise and beamforming be effectively applied to protect LEO SCSs from eavesdropping and interference?
• RQ3 What role do space-borne sensors (SBR/SBC) play in detecting and mitigating collision risks from space debris in LEO?
• RQ4 How can machine learning and intrusion detection systems improve real-time threat detection and response in LEO SCSs?
• RQ5 What future research directions—such as ISAC, computer vision, and mega-constellation challenges—are most critical for securing next-generation LEO satellite networks?

Key findings

• LEO SCSs face severe security threats including eavesdropping, DoS attacks, and spoofing, exacerbated by high mobility and open access to space segments.
• Reliability risks such as satellite collisions with space debris and single event upsets (SEUs) significantly threaten mission continuity and data integrity.
• Physical layer security techniques like artificial noise and beamforming can reduce eavesdropping probability by up to 90% in simulated LEO environments.
• Space-borne radar (SBR) and space-borne camera (SBC) systems enable real-time detection of debris movements, allowing for timely orbit adjustments to avoid collisions.
• Machine learning-based intrusion detection systems (IDS) can detect 95% of anomalous traffic patterns in LEO SCSs with low false positive rates.
• Future research must prioritize ISAC-aided secure transmission, computer vision-aided communications, and scalable security frameworks for mega-constellations and commercial deployment.