Security Analysis of 5G NR Device-to-Device Sidelink Communications

• URL: http://arxiv.org/abs/2502.16650v1
• Date: Sun, 23 Feb 2025 16:55:32 GMT
• Title: Security Analysis of 5G NR Device-to-Device Sidelink Communications
• Authors: Evangelos Bitsikas, Aanjhan Ranganathan,
• Abstract summary: This paper presents the first comprehensive security analysis of NR V2X sidelink.<n>We identify vulnerabilities across critical procedures and demonstrate plausible attack.<n>We propose mitigation strategies to enhance the security of 5G sidelink communications.
• Score: 7.044125601403848
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 5G NR sidelink communication enables new possibilities for direct device-to-device interactions, supporting applications from vehicle-to-everything (V2X) systems to public safety, industrial automation, and drone networks. However, these advancements come with significant security challenges due to the decentralized trust model and increased reliance on User Equipment (UE) for critical functions like synchronization, resource allocation, and authorization. This paper presents the first comprehensive security analysis of NR V2X sidelink. We identify vulnerabilities across critical procedures and demonstrate plausible attack, including attacks that manipulate data integrity feedback and block resources, ultimately undermining the reliability and privacy of sidelink communications. Our analysis reveals that NR operational modes are vulnerable, with the ones relying on autonomous resource management (without network supervision) particularly exposed. To address these issues, we propose mitigation strategies to enhance the security of 5G sidelink communications. This work establishes a foundation for future efforts to strengthen 5G device-to-device sidelink communications, ensuring its safe deployment in critical applications.

Related papers

• Secure Physical Layer Communications for Low-Altitude Economy Networking: A Survey [76.36166980302478]
  The Low-Altitude Economy Networking (LAENet) is emerging as a transformative paradigm. Physical layer communications in the LAENet face growing security threats due to inherent characteristics of aerial communication environments. This survey comprehensively reviews existing secure countermeasures for physical layer communication in the LAENet.
  arXiv  Detail & Related papers  (2025-04-12T09:36:53Z)
• Towards Zero Trust Security in Connected Vehicles: A Comprehensive Survey [0.27309692684728615]
  Zero Trust is the new cybersecurity model that challenges the traditional one by promoting continuous verification of users, devices, and applications. This paper offers an understanding of Zero Trust security through a comprehensive review of existing literature, principles, and challenges. Future directions of this research will focus on incorporating Zero Trust principles within Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication paradigms.
  arXiv  Detail & Related papers  (2025-04-07T20:29:11Z)
• A Comprehensive Framework for Building Highly Secure, Network-Connected Devices: Chip to App [1.4732811715354452]
  This paper proposes a holistic approach to securing network-connected devices.<n>At the hardware level, we focus on secure key management, reliable random number generation, and protecting critical assets.<n>For secure communication, we emphasize TLS 1.3 and optimized cipher suites tailored for both standard and resource-constrained devices.
  arXiv  Detail & Related papers  (2025-01-23T14:44:34Z)
• Bridging the Security Gap: Lessons from 5G and What 6G Should Do Better [1.3505077405741583]
  This paper provides a set of security recommendations for 6G networks.<n>It focuses on access and handover procedures, which often lack encryption and integrity protection.<n>It concludes with actionable recommendations to enhance the security, resilience, and robustness of 6G access and handover mechanisms.
  arXiv  Detail & Related papers  (2025-01-19T13:44:17Z)
• TIMESAFE: Timing Interruption Monitoring and Security Assessment for Fronthaul Environments [25.43682473591802]
  We show how a spoofing attack is able to cause a production-ready O-RAN and 5G-compliant private cellular base station to catastrophically fail within 2 seconds of the attack.<n>To counter this, we design a Machine Learning-based monitoring solution capable of detecting various malicious attacks with over 97.5% accuracy.
  arXiv  Detail & Related papers  (2024-12-17T16:13:37Z)
• VMGuard: Reputation-Based Incentive Mechanism for Poisoning Attack Detection in Vehicular Metaverse [52.57251742991769]
  vehicular Metaverse guard (VMGuard) protects vehicular Metaverse systems from data poisoning attacks.<n>VMGuard implements a reputation-based incentive mechanism to assess the trustworthiness of participating SIoT devices.<n>Our system ensures that reliable SIoT devices, previously missclassified, are not barred from participating in future rounds of the market.
  arXiv  Detail & Related papers  (2024-12-05T17:08:20Z)
• Securing Legacy Communication Networks via Authenticated Cyclic Redundancy Integrity Check [98.34702864029796]
  We propose Authenticated Cyclic Redundancy Integrity Check (ACRIC) ACRIC preserves backward compatibility without requiring additional hardware and is protocol agnostic. We show that ACRIC offers robust security with minimal transmission overhead ( 1 ms)
  arXiv  Detail & Related papers  (2024-11-21T18:26:05Z)
• Enhancing Enterprise Security with Zero Trust Architecture [0.0]
  Zero Trust Architecture (ZTA) represents a transformative approach to modern cybersecurity. ZTA shifts the security paradigm by assuming that no user, device, or system can be trusted by default. This paper explores the key components of ZTA, such as identity and access management (IAM), micro-segmentation, continuous monitoring, and behavioral analytics.
  arXiv  Detail & Related papers  (2024-10-23T21:53:16Z)
• From 5G to 6G: A Survey on Security, Privacy, and Standardization Pathways [21.263571241047178]
  The vision for 6G aims to enhance network capabilities with faster data rates, near-zero latency, and higher capacity. This advancement seeks to enable immersive mixed-reality experiences, holographic communications, and smart city infrastructures. The expansion of 6G raises critical security and privacy concerns, such as unauthorized access and data breaches.
  arXiv  Detail & Related papers  (2024-10-04T03:03:44Z)
• A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid [62.91192307098067]
  This paper proposes a novel zero trust framework for a power grid supply chain (PGSC) It facilitates early detection of potential GenAI-driven attack vectors, assessment of tail risk-based stability measures, and mitigation of such threats. Experimental results show that the proposed zero trust framework achieves an accuracy of 95.7% on attack vector generation, a risk measure of 9.61% for a 95% stable PGSC, and a 99% confidence in defense against GenAI-driven attack.
  arXiv  Detail & Related papers  (2024-03-11T02:47:21Z)
• Penetration Testing of 5G Core Network Web Technologies [53.89039878885825]
  We present the first security assessment of the 5G core from a web security perspective. We use the STRIDE threat modeling approach to define a complete list of possible threat vectors and associated attacks. Our analysis shows that all these cores are vulnerable to at least two of our identified attack vectors.
  arXiv  Detail & Related papers  (2024-03-04T09:27:11Z)
• A Survey and Comparative Analysis of Security Properties of CAN Authentication Protocols [92.81385447582882]
  The Controller Area Network (CAN) bus leaves in-vehicle communications inherently non-secure. This paper reviews and compares the 15 most prominent authentication protocols for the CAN bus. We evaluate protocols based on essential operational criteria that contribute to ease of implementation.
  arXiv  Detail & Related papers  (2024-01-19T14:52:04Z)
• Task-Oriented Communications for NextG: End-to-End Deep Learning and AI Security Aspects [78.84264189471936]
  NextG communication systems are beginning to explore shifting this design paradigm to reliably executing a given task such as in task-oriented communications. Wireless signal classification is considered as the task for the NextG Radio Access Network (RAN), where edge devices collect wireless signals for spectrum awareness and communicate with the NextG base station (gNodeB) that needs to identify the signal label. Task-oriented communications is considered by jointly training the transmitter, receiver and classifier functionalities as an encoder-decoder pair for the edge device and the gNodeB.
  arXiv  Detail & Related papers  (2022-12-19T17:54:36Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.