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Enhancing Security in Satellite Communications with Radio Fingerprinting

Radio fingerprinting helps secure satellite systems against jamming attacks.

― 8 min read


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Table of Contents

With the rise of attacks on radio communication systems, there is a growing need to find ways to keep these systems safe and secure. One method that has been focused on is radio fingerprinting. This method helps identify and verify transmitters by looking at small, unique differences in the signals they send. This technique is particularly useful for satellite systems, as many of them have security flaws and cannot be easily updated with cryptographic protections.

What is Radio Fingerprinting?

Radio fingerprinting works by examining the small hardware differences in a transmitter that show up in the signal it sends. Each piece of hardware has its own slight variations, which can create unique patterns in the signal. By recognizing these patterns, one can figure out which transmitter is sending the signal and confirm its identity. This technique has been successfully used in land-based radio systems and is now being applied to satellite communications.

However, the main aim of an attacker may not always be to take over the communication but to block it completely, known as denial of service. This is accomplished by sending interference signals or noise that make it hard for the legitimate signals to be received and understood.

Jamming Attacks

Jamming is a common way to disrupt communication signals. An attacker can use noise or other signals to overwhelm the legitimate signal, which makes it impossible for the intended receiver to decode the message. There have been real-world examples of such attacks, like the recent jamming incidents involving satellite communication systems.

When radio fingerprinting is used, incoming messages may be rejected if the fingerprint from the transmitter does not match what is expected. This means that attackers can block communication by simply disrupting the fingerprint.

In the case of satellites, this is especially worrying because high levels of atmospheric noise already make it challenging to detect specific transmitter characteristics. However, studies show that fingerprinting techniques can withstand jamming attacks, so adding fingerprinting systems for authentication should not increase the risk of Denial-of-service attacks.

The Importance of Satellite Systems

The increasing affordability of software-defined radio (SDR) hardware coupled with the growing reliance on satellite systems raises concerns regarding potential attacks on these crucial infrastructures. Additionally, many older satellite systems lack proper security measures, further heightening the risk.

Numerous methods have been suggested to secure satellite communications without relying on cryptography. These methods often utilize analysis of the signals and other factors to verify the authenticity of messages. Fingerprinting is one of these methods, which looks for signal flaws caused by differences in transmitter hardware. This technique is particularly valuable for satellite systems that may not be designed with cryptographic security in mind.

Resilience of Fingerprinting

In this discussion, we focus on the resilience of satellite fingerprinting against interference and jamming attempts. By examining a fingerprinting model that has already been trained, we collect new data where we add varying levels of noise and jamming to legitimate signals. Through this assessment, we aim to determine the amount of power an attacker needs to successfully disrupt the fingerprinting process.

Interestingly, findings reveal that transmitter fingerprints remain identifiable even with moderate levels of noise. The analysis indicates that the energy required to disrupt the fingerprint is similar to that needed to jam the message content itself. Therefore, implementing a fingerprinting system for validating satellite communication should not expose it to more denial-of-service attacks.

Technical Background on Fingerprinting

Radio fingerprinting techniques help identify radio transmitters based solely on received signals. The differences in the hardware of transmitters introduce unique impairments in the signals, allowing us to differentiate them even among devices that are identical in design.

Two main approaches to fingerprinting are transient fingerprinting and steady-state fingerprinting. Transient fingerprinting focuses on the initial part of the signal that occurs when a transmitter first turns on. Steady-state fingerprinting looks at the overall signal for identifying information.

The reliability of fingerprinting is also affected by various factors in the wireless environment, such as background noise and signal loss over distance. In satellite systems, signals travel vast distances through the atmosphere, making fingerprint extraction quite challenging. However, certain techniques have been developed to address these issues, including averaging multiple messages and increasing the sample rate of the signals.

Types of Jamming

In our analysis, we consider two main forms of jamming: noise jamming and tone jamming. Noise jamming introduces random noise into the signal, while tone jamming adds a consistent frequency to disrupt the communication. Each of these jamming methods can affect the fingerprinting system differently, so they are both evaluated in the context of this study.

Structure of Satellite Messages

To comprehend how jamming affects satellite communication, it is essential to understand the structure of the messages sent by satellites. For example, Iridium Ring Alert (IRA) messages are sent to all Iridium user terminals. These messages contain important information about the transmitting satellite, including its unique identifier.

Each message begins with a synchronization header, which helps identify the specific transmitter. The actual message follows a set structure and is protected by an error-correcting code. This code ensures that some mistakes during transmission can be corrected.

Attacker Capabilities

The study hypothesizes that an attacker could introduce radio interference to cause errors in the fingerprinting process. To successfully misclassify the transmitter, the attacker must ensure that the legitimate signal remains decodable, while causing confusion in the fingerprinting system.

The attacker is assumed to have access to readily available software-defined radio hardware and must transmit the interfering signals close enough for the victim receiver to be affected. The attacker’s antenna is typically omnidirectional, enabling it to target a wide area.

Analyzing the Attack Budget

To estimate the resources needed for an attack, we analyze two example transmitter systems. The attacker would require a software-defined radio to emit either Gaussian noise or a constant tone. An amplifier is also necessary to boost the transmission strength. Finally, an appropriate antenna will aid in targeting the receiver effectively.

The total costs for the hardware needed for such an attack can be relatively low, making it accessible even for hobbyists. This highlights the potential risk posed by motivated individuals who may not need specialized skills to carry out attacks.

Assessing Effective Attack Range

To understand how far away an attacker can successfully disrupt communication, we consider the proportion of messages that fail to decode as the jamming power increases. The distance over which jamming is effective can be calculated using certain established parameters, like the power needed to cause significant communication losses.

The results indicate that attackers can jam communication effectively over long distances, even hundreds of kilometers away. This follows from the fact that the jamming signal can overpower the legitimate signal when they are transmitted within the same frequency range.

Data Collection Methodology

To evaluate the robustness of the fingerprinting system under jamming conditions, we gather data from Iridium messages while adding varying levels of noise through hardware. This setup allows for the exploration of how different jamming techniques impact the fingerprinting process.

During the data collection, different levels of noise are introduced to the incoming signals over an extended period. This ensures a diverse dataset that helps establish a clear understanding of how noise affects the reliability of the fingerprinting system.

Data Analysis

The analysis reveals how the number of received messages changes as noise levels increase. Additionally, it highlights the number of messages that are usable for fingerprinting. As noise increases, the ability to decode these messages declines.

Overall, a conclusion drawn from the data is that adding noise disrupts the fingerprinting process. The more noise present, the harder it becomes for the fingerprinting system to accurately identify the transmitter.

Software-Based Jamming Analysis

Separately, a software analysis is performed where noise and jamming signals are added to clean signals that have already been collected. This method allows for testing a broader range of jamming techniques without relying on real-time decoding.

The results of this software analysis indicate that both forms of jamming can significantly impact the fingerprinting system. The effectiveness of these jamming techniques is compared, showing that tone jamming tends to be more successful at disrupting the fingerprinting process than Gaussian noise.

Real-World Experiment Outcomes

In assessing the real-world data collected with added noise, it's noted that the fingerprinting system's ability to accept or reject messages is directly affected by the jamming power. As noise increases, more messages are inevitably rejected, confirming that jamming does indeed interfere with the fingerprinting process.

The outcomes of the experiments reveal that it takes more energy to disrupt the fingerprinting system than it does to jam the communication messages directly. This indicates that the fingerprinting system is resilient and does not significantly increase vulnerability to denial-of-service attacks.

Conclusions and Future Directions

In conclusion, the fingerprinting system used in satellite communications is shown to withstand jamming attacks effectively. The required power for an attacker to disrupt the fingerprinting process is comparable to that needed to jam the actual message content. This suggests that fingerprinting can be safely employed without introducing significant new risks for satellite communication systems.

Future research may delve deeper into specific attack methods targeting fingerprinting systems to understand their strengths and weaknesses entirely. As technology advances, exploring further strategies to safeguard satellite communications will remain vital in preserving their integrity, especially as many systems continue to operate without robust security measures.

The ongoing relevance of satellite systems makes it essential to develop reliable methods, like fingerprinting, that can enhance trust and authentication within these crucial networks.

Original Source

Title: Sticky Fingers: Resilience of Satellite Fingerprinting against Jamming Attacks

Abstract: In the wake of increasing numbers of attacks on radio communication systems, a range of techniques are being deployed to increase the security of these systems. One such technique is radio fingerprinting, in which the transmitter can be identified and authenticated by observing small hardware differences expressed in the signal. Fingerprinting has been explored in particular in the defense of satellite systems, many of which are insecure and cannot be retrofitted with cryptographic security. In this paper, we evaluate the effectiveness of radio fingerprinting techniques under interference and jamming attacks, usually intended to deny service. By taking a pre-trained fingerprinting model and gathering a new dataset in which different levels of Gaussian noise and tone jamming have been added to the legitimate signal, we assess the attacker power required in order to disrupt the transmitter fingerprint such that it can no longer be recognized. We compare this to Gaussian jamming on the data portion of the signal, obtaining the remarkable result that transmitter fingerprints are still recognizable even in the presence of moderate levels of noise. Through deeper analysis of the results, we conclude that it takes a similar amount of jamming power in order to disrupt the fingerprint as it does to jam the message contents itself, so it is safe to include a fingerprinting system to authenticate satellite communication without opening up the system to easier denial-of-service attacks.

Authors: Joshua Smailes, Edd Salkield, Sebastian Köhler, Simon Birnbach, Martin Strohmeier, Ivan Martinovic

Last Update: 2024-04-04 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2402.05042

Source PDF: https://arxiv.org/pdf/2402.05042

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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