Drone Hacking: 5G’s Hidden Weakness

Author: Denis Avetisyan

New research reveals critical vulnerabilities in 5G Standalone networks that could allow attackers to compromise unmanned aerial vehicle (UAV) communications and control.

A security assessment identifies potential vulnerabilities within a 5G core network stemming from malicious actions by authorized internal actors.

This study details threat models and testbed evaluations of 5G SA logical vulnerabilities impacting UAV operations, focusing on GNodeB security and MAVLink protocol integrity.

While 5G networks promise enhanced connectivity for critical applications like unmanned aerial vehicle (UAV) command and control, inherent architectural vulnerabilities pose significant security risks. This is explored in ‘Impact of 5G SA Logical Vulnerabilities on UAV Communications: Threat Models and Testbed Evaluation’, which investigates potential attack vectors targeting UAV communications within a 5G Standalone (SA) network. Through a purpose-built testbed and detailed threat modeling-considering attackers positioned as malicious user equipment, compromised gNodeBs, or those with core network access-the study demonstrates that successful exploitation can disrupt UAV operations via manipulation of control commands and data session termination. Given the increasing reliance on UAVs for diverse applications, how can robust isolation and integrity protection mechanisms be implemented across the 5G user plane and UAV control protocols to ensure operational resilience?

The Promise and Peril of Aerial Connectivity

The escalating integration of Unmanned Aerial Vehicles (UAVs) into diverse critical operations – spanning infrastructure inspection, precision agriculture, and emergency response – has created an undeniable reliance on dependable communication networks. Beyond simple telemetry, modern UAV applications demand real-time video transmission, complex flight path adjustments, and seamless integration with cloud-based data analytics. Consequently, the functionality of these aerial platforms is inextricably linked to the stability and capacity of their communication links; a disrupted or unreliable connection can lead to lost control, compromised data, and potentially catastrophic outcomes. As UAVs transition from recreational use to integral components of essential services, the need for robust and secure communication infrastructure becomes paramount, driving innovation in wireless technologies and network protocols designed to meet these increasingly stringent demands.

Unmanned Aerial Vehicles (UAVs) require dependable communication links for increasingly complex tasks, and 5G Standalone (5G-SA) networks represent a significant leap forward in enabling safe and reliable operation. Traditional cellular networks often introduce unacceptable delays – latency – that hinder real-time control, particularly crucial for applications like precision agriculture, infrastructure inspection, and emergency response. 5G-SA, however, is architected to minimize these delays, offering latency figures as low as 1 millisecond under ideal conditions. This responsiveness, coupled with the network’s substantially increased bandwidth – capable of transmitting far more data per second – facilitates the high-resolution video feeds and complex command sequences necessary for Beyond Visual Line of Sight (BVLOS) operations and autonomous flight. The enhanced capacity also supports multiple UAVs operating concurrently within the same airspace, opening possibilities for coordinated aerial activities and scalable drone-based services.

The advanced capabilities of 5G networks, while promising for unmanned aerial vehicle (UAV) control, simultaneously introduce a new layer of potential vulnerabilities. Recent research indicates that the intricate signaling procedures and network slicing inherent in 5G can be exploited by malicious actors, potentially leading to disruptions in communication, unauthorized control, or even the complete hijacking of UAV systems. Specifically, inconsistencies in authentication protocols and vulnerabilities within the user plane function were identified as key attack vectors. These findings highlight a crucial need for enhanced security measures, including robust encryption, intrusion detection systems tailored for 5G, and continuous monitoring of network integrity to ensure the safe and reliable operation of UAVs in increasingly connected airspace.

This threat model depicts a scenario where a UAV, ground control station (GCS), and rogue user equipment (UE) are concurrently connected to the same <span class="katex-eq" data-katex-display="false">gNodeB</span>, potentially creating vulnerabilities. — This threat model depicts a scenario where a UAV, ground control station (GCS), and rogue user equipment (UE) are concurrently connected to the same $gNodeB$ , potentially creating vulnerabilities.

Deconstructing the 5G Architecture for Aerial Command

The 5G core network’s control plane is fundamentally structured around the Access and Mobility Management Function (AMF) and the Session Management Function (SMF). The AMF handles user authentication, authorization, and mobility management, including registration, connection management, and reachability management. Simultaneously, the SMF is responsible for establishing and managing user sessions, including session creation, modification, and release. These functions collaborate to provide network access control and session management, ensuring secure and reliable communication for devices like UAVs. Specifically, the SMF allocates user plane function (UPF) resources and manages policy enforcement based on subscription data, while the AMF provides the necessary security context for session establishment.

The User Plane Function (UPF) is the central component for handling user traffic within the 5G network, specifically processing packets for UAV control and telemetry. All data associated with the UAV, including real-time video feeds, command and control signals, and any auxiliary data, is forwarded through the UPF. Transmission of this user plane traffic between the UPF and external networks, or between UPFs in a multi-UPF deployment, utilizes the GTP-U (GPRS Tunneling Protocol – User plane) protocol. GTP-U encapsulates the user data packets, adding necessary headers for forwarding and quality of service (QoS) enforcement, ensuring reliable and low-latency communication critical for UAV operations.

The N4 interface is a critical component enabling communication between the Session Management Function (SMF) and the User Plane Function (UPF) within the 5G core network. This interface utilizes the Protocol for Control Plane Communication (PFCP) to transmit control plane messages. Specifically, PFCP allows the SMF to establish, modify, and release Quality of Service (QoS) policies for user plane traffic flowing through the UPF. These policies dictate parameters like bandwidth allocation and packet prioritization, ensuring appropriate handling of data streams, including those originating from or destined for Unmanned Aerial Vehicles (UAVs). The N4 interface and PFCP work in tandem to dynamically adapt network resources based on real-time UAV operational requirements.

Kubernetes is utilized as the orchestration platform for deploying and managing the virtualized 5G network functions, including the AMF, SMF, and UPF, enabling scalability and efficient resource allocation. Specifically, Kubernetes manages the lifecycle of these components through containerization, automating deployment, scaling, and healing operations. Complementing this, UERANSIM provides a software-based simulation of the 5G radio access network, specifically the gNodeB (base station) and User Equipment (UE, representing the UAV). This allows for end-to-end testing and validation of the 5G control and user planes in a controlled environment without requiring physical hardware, facilitating rapid prototyping and development of UAV communication solutions.

Dissecting Aerial Vulnerabilities Within the 5G Ecosystem

A compromised gNodeB, the 5G base station, represents a significant threat to UAV communication due to its central role in relaying control and telemetry data. Successful exploitation allows an adversary to intercept, modify, or fabricate communication packets exchanged between the UAV and the ground control station (GCS). This manipulation can range from subtly altering position data to issuing false commands, potentially leading to loss of control, navigation errors, or even a complete crash of the UAV. Because the gNodeB handles all radio communication with the UAV, it bypasses many higher-layer security measures, making it a highly effective point of attack for an adversary seeking to hijack or disable the unmanned aerial vehicle.

The N4 interface, responsible for forwarding user plane data between the 5G core network and the RAN, represents a critical point of failure susceptible to insider threat attacks. An adversary with authorized access to the core network can disrupt N4 communication, impacting the delivery of control and media data to the UAV. This disruption compromises session management by preventing proper establishment or maintenance of Quality of Service (QoS) flows, potentially leading to data loss, degraded performance, or complete loss of communication between the UAV and the ground control station (GCS). Successful exploitation of this vulnerability requires an attacker to bypass typical authentication measures by leveraging legitimate credentials or exploiting existing system permissions within the core network infrastructure.

A Rogue UE attack involves a malicious user equipment (UE) successfully impersonating the Ground Control Station (GCS) to gain unauthorized control of the unmanned aerial vehicle (UAV). This is achieved by exploiting vulnerabilities within the authentication procedures of the 5G network. Specifically, a compromised or malicious UE can present itself as the authorized GCS, potentially bypassing or spoofing authentication checks. Successful execution of this attack allows the adversary to send commands to the UAV, including altering flight paths or initiating unintended actions, effectively hijacking the system. The vulnerability lies in the potential for inadequate verification of the UE’s identity as the legitimate GCS during the initial connection and subsequent communication sessions.

Network Integrity Assurance 2 (NIA2) enhances security by extending integrity protection to the GTP-U protocol, a critical component for user plane data transfer. Recent testbed evaluations simulating unmanned aerial vehicle (UAV) communication scenarios demonstrated that without NIA2, all three assessed attack vectors – a malicious user equipment (UE), compromised core network access, and a compromised gNodeB – successfully impacted UAV operation. These tests confirmed that vulnerabilities in GTP-U allow an adversary to manipulate data transmitted to and from the UAV, potentially leading to loss of control or compromised data integrity. The successful exploitation of these vectors underscores the importance of implementing NIA2 as a key mitigation strategy against data manipulation attacks targeting UAV communication networks.

Bolstering Aerial Control: Mitigating 5G Security Risks

Rogue User Equipment (UE) attacks pose a significant threat to UAV control by exploiting vulnerabilities in authentication processes. These attacks involve malicious devices masquerading as legitimate UAVs or ground control stations to gain unauthorized access to the network. Robust authentication mechanisms, including mutual authentication and strong cryptographic protocols, are crucial to verify the identity of all entities before establishing communication. Successful implementation requires validating device credentials, employing secure key exchange methods, and continuously monitoring for anomalous authentication attempts. Failure to adequately authenticate devices can result in unauthorized control of the UAV, data breaches, or denial-of-service attacks, highlighting the necessity of multi-layered authentication strategies for secure UAV operations.

Network slicing, a core capability of the 5G Standalone (5G SA) architecture, enables the creation of multiple virtual networks over a common physical infrastructure. This allows for the isolation of Unmanned Aerial Vehicle (UAV) control and data traffic from other network users, significantly reducing the attack surface and mitigating potential interference. Each network slice can be configured with specific Quality of Service (QoS) parameters, security policies, and resource allocations tailored to the unique requirements of UAV operations – such as low latency and high reliability. By logically separating UAV communications, network slicing prevents unauthorized access and minimizes the impact of potential breaches affecting other network slices, bolstering the overall security posture of UAV command and control systems. Successful demonstration included isolating compromised gNodeB attempts to manipulate UAV navigation from affecting other network traffic.

Insider Threat Attacks targeting UAV control systems can be mitigated through stringent access controls and continuous monitoring of the N4 interface. The N4 interface connects the 5G core network to the radio access network (RAN), and compromised credentials within this connection can allow malicious actors to manipulate UAV traffic. Implementing multi-factor authentication, role-based access control, and least-privilege principles restricts unauthorized access to critical network functions. Continuous monitoring of N4 signaling for anomalous activity, such as unauthorized configuration changes or unexpected traffic patterns, provides early detection of potential insider threats and enables rapid response to prevent compromise of UAV control.

Data network names are critical for establishing secure communication sessions and effectively managing network resources for UAV control. Recent demonstrations have proven the vulnerability of UAV systems to compromised base stations (gNodeBs); manipulated data network names allowed attackers to redirect navigation commands, forcing the UAV to move to attacker-defined coordinates. Furthermore, core network attacks leveraging compromised data sessions resulted in forced activation of the UAV’s failsafe mode, highlighting the importance of verifying data network name integrity and implementing robust session management protocols to prevent unauthorized control and ensure operational safety.

The Future of Secure Aerial Communication with 5G

The escalating reliance on unmanned aerial vehicles (UAVs) necessitates a sustained commitment to bolstering their communication security, demanding continuous refinement of both encryption protocols and intrusion detection methodologies. Current security measures, while functional, are increasingly vulnerable to sophisticated cyberattacks and evolving threat landscapes; therefore, research must prioritize the development of protocols resistant to quantum computing and adaptive intrusion systems capable of identifying zero-day exploits. Investigations into novel cryptographic techniques, such as post-quantum cryptography and physically unclonable functions, offer promising avenues for strengthening UAV communications. Simultaneously, advanced intrusion detection systems leveraging behavioral analysis and anomaly detection algorithms are essential for proactively identifying and mitigating malicious activity, ultimately ensuring the safe and reliable operation of UAVs in increasingly contested airspace.

Unmanned aerial vehicles (UAVs) operating within 5G networks demand communication strategies built to endure a spectrum of potential attacks, ranging from simple jamming to sophisticated cyber intrusions. Achieving long-term reliability necessitates moving beyond conventional, static protocols and embracing dynamic, adaptive systems capable of real-time threat assessment and mitigation. Researchers are exploring techniques like frequency hopping, spread spectrum modulation, and the implementation of redundant communication pathways to ensure continued operation even under duress. Furthermore, the development of self-healing networks – those capable of automatically rerouting data around compromised nodes – is paramount. These resilient strategies aren’t simply about preventing disruption; they are about maintaining critical functionality, ensuring data integrity, and guaranteeing the safe and consistent operation of UAVs in increasingly contested airspace, ultimately fostering public trust and enabling wider adoption of this transformative technology.

The evolving landscape of unmanned aerial vehicle (UAV) communication necessitates proactive security measures, and artificial intelligence offers a powerful toolkit for achieving this. Current research demonstrates that machine learning algorithms, specifically deep learning models, can be trained to identify anomalous communication patterns indicative of malicious activity – far exceeding the capabilities of traditional signature-based security systems. These AI-driven systems don’t simply react to known threats; they learn and adapt, predicting potential attacks based on subtle deviations from established norms. Furthermore, AI facilitates automated response protocols, enabling UAVs to dynamically adjust communication frequencies, reroute data streams, or even isolate compromised systems without human intervention. This predictive and adaptive capability is crucial for maintaining secure and reliable communication links in contested or rapidly changing environments, promising a future where UAVs can autonomously defend against sophisticated cyber threats.

The widespread adoption of secure unmanned aerial vehicle (UAV) communication via 5G networks hinges on establishing robust industry-wide standards and fostering collaborative efforts. Currently, a fragmented landscape of proprietary security protocols and communication methods limits interoperability, creating vulnerabilities and hindering seamless integration of UAVs into national airspace. A unified approach, driven by international standards bodies and involving key stakeholders – including manufacturers, network operators, and regulatory agencies – is paramount. This collaborative standardization would not only ensure that different UAV systems can communicate securely with each other and ground infrastructure, but also streamline the development and deployment of advanced security features, accelerate innovation, and build public trust in this rapidly evolving technology. Without such concerted efforts, the full potential of 5G-enabled UAV applications – from critical infrastructure inspection to package delivery – will remain unrealized, and the risk of security breaches will continue to escalate.

The pursuit of increasingly intricate systems often obscures fundamental weaknesses. This study, detailing vulnerabilities within 5G Standalone networks and their impact on UAV communications, exemplifies this perfectly. Researchers exposed how seemingly secure architectures, when coupled with flaws in protocols like MAVLink, become susceptible to manipulation. One recalls Edsger W. Dijkstra’s assertion: “Simplicity is prerequisite for reliability.” The elegance of a robust system isn’t found in layers of complexity, but in the careful removal of unnecessary elements. They called it a framework to hide the panic, building defenses atop fragile foundations instead of addressing the core issues of User Plane Integrity and GNodeB security. A simpler, more rigorously tested design would have served UAV operations far better.

What Remains Unseen?

The demonstrated susceptibility of UAV communications to compromise, while not entirely surprising, highlights a fundamental tension. Security protocols proliferate, yet the attack surface expands with each added layer of complexity. The work presented serves not as a solution, but as a precise mapping of the vulnerabilities inherent in current architectures. Future effort must concentrate on minimizing the trusted components – the fewer entities requiring absolute integrity, the more robust the system. The reliance on a perfectly secured GNodeB, for example, represents a single point of failure that is, statistically, inevitable.

A fruitful avenue for investigation lies in exploring the trade-offs between communication bandwidth and provable security. The current emphasis on maximizing data throughput often comes at the expense of rigorous integrity checks. Reducing reliance on the User Plane, and perhaps embracing a more minimal, message-authenticated approach, may offer a path towards resilience. Such simplification is not merely pragmatic; it is, in essence, a return to first principles.

Ultimately, the true challenge is not to anticipate every potential attack, but to design systems that degrade gracefully in the face of compromise. A system that can continue to function, albeit at a reduced capacity, is preferable to one that fails catastrophically. The goal, therefore, is not impenetrable security, but rather, a controlled, predictable entropy.

Original article: https://arxiv.org/pdf/2603.04662.pdf

Contact the author: https://www.linkedin.com/in/avetisyan/