ADS-B spoofing attack detection method based on LSTM

Wang, Jing; Zou, Yunkai; Ding, Jianli

doi:10.1186/s13638-020-01756-8

Cited by 26 publications

(14 citation statements)

References 27 publications

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“…The authors train the model on a dataset generated with the help of OpenSky. From the perspective of ADS-B messages, a spoofing a ack detection technique based on LSTM is proposed [89]. In this research paper, the author focused on three different ADS-B a acks: injection, jamming, and modification.…”

Section: Machine Learning-based Security Solutionsmentioning

confidence: 99%

“…In this research paper, the author focused on three different ADS-B a acks: injection, jamming, and modification. The flowchart of the proposed technique is shown in Figure 13 [89]. Based on the sliding window, the ADS-B messages sequence is pre-processed and implemented in the LSTM network model with 93% accuracy [89].…”

Section: Machine Learning-based Security Solutionsmentioning

confidence: 99%

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Advancements in ADS-B Security: A Comprehensive Survey of Vulnerabilities, Mitigation Strategies, System Requirements, and Emerging Research Trends

Ahmed,

Anwar Bhatti,

Masood

et al. 2024

Preprint

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The Automatic Dependent Surveillance-Broadcast (ADS-B) protocol stands as a cornerstone in modern aviation surveillance and Aircraft Traffic Control systems, integral to the NextGen project initiated by the US Department of Federal Aviation Administration (FAA) in 2005. ADS-B utilizes data links to autonomously broadcast Aircraft navigational and identification information to augment air transportation system capacity and safety. However, concerns regarding the protocol's security persist, particularly as its adoption expands. The unencrypted nature of transmitted aircraft data and the absence of robust authentication mechanisms render the protocol susceptible to exploitation by malicious actors. In this study, we comprehensively reviewed existing research in the field, identifying a crucial gap necessitating a holistic survey. Prior surveys have predominantly focused on specific aspects, such as vulnerabilities, attacks, or critiques of existing solutions. Our survey addresses this gap by thoroughly exploring the aviation system, providing readers with a nuanced understanding of ADS-B security. Utilizing a detailed SWOT analysis diagram, our paper delves into the vulnerabilities inherent in the ADS-B protocol outlines potential threats and scrutinizes various attack scenarios. We systematically categorize and analyze existing security solutions, considering cost-effectiveness, scalability, implementation complexity, and coverage against diverse attack vectors. Furthermore, we critically evaluate these solutions, elucidate ADS-B security requirements, discuss current challenges, and propose future research directions. This survey serves as a comprehensive resource for researchers and practitioners alike, shedding light on the multifaceted landscape of ADS-B security and paving the way for enhanced aviation system resilience in the face of evolving cybersecurity threats.

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Section: Machine Learning-based Security Solutionsmentioning

confidence: 99%

Section: Machine Learning-based Security Solutionsmentioning

confidence: 99%

Advancements in ADS-B Security: A Comprehensive Survey of Vulnerabilities, Mitigation Strategies, System Requirements, and Emerging Research Trends

Ahmed,

Anwar Bhatti,

Masood

et al. 2024

Preprint

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“…Attacks on the ADS-B, which can have different levels of impact on aircraft systems, include eavesdropping, jamming, message insertion, message deletion, and message modification (Table 1) (Wang et al, 2020).…”

Section: Cyber Attacks On the Ads-bmentioning

confidence: 99%

Spoofing in aviation: Security threats on GPS and ADS-B systems

Kožović¹,

Đurđević²

2021

Vojnotehnički glasnik

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Introduction/purpose: The paper provides a review of recent research in the field of GPS and ADS-B spoofing. Systems that rely on satellite positioning technology can be targeted by spoofing in order to generate incorrect positioning/timing, which is accomplished by inserting false signals into the "victim's" receiver. Attackers try to insert false positioning information into systems that, for example, provide navigation of airplanes or drones for the purpose of hijacking or distracting security/safety in airspace surveillance. New concepts of navigation and ATC will thus be necessary. Methods: Using a scientific approach, the paper gives an evaluation of GPS and ADS-B spoofing/antispoofing and how spoofing affects the cyber security of aviation systems. Results: Based on the methodological analysis used, the importance of studying spoofing/anti-spoofing in aviation is shown. Conclusion: Although spoofing in aviation is only a potential threat, its technical feasibility is realistic and its potential is considerable; it becomes more flexible and cheaper due to very rapid advancement of SDR technologies. The real risk, in the time to come, are potential spoofing attacks that could occur from the air, using drones. However, aircraft systems are not exposed to spoofing without any defense; receivers can detect it by applying various anti-spufing techniques. Also, pilots are able to detect and solve problems at every stage of the flight. However, due to a possibility of more sophisticated spoofing attacks, international organizations such as ICAO are proactively working to increase GPS and ADS-B systems robustness on spoofing.

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“…Factors such as the number and density of targets, target dynamic characteristics, sensor performance, noise and interference sources, and filter performance selected for state estimation all have an impact on the performance of the multitarget tracking system. With the development of multitarget tracking systems, such as multisource information fusion theory [6], nonlinear filtering theory [7], random finite set theory [8], and other new technologies, the performance of the multitarget tracking system has significantly improved the performance of the multitarget tracking system. Target uncertainty and observation uncertainty are two important issues that need to be resolved in a multitarget tracking system.…”

Section: Related Workmentioning

confidence: 99%

Research on Channel Optimization of Ads‐B Aviation Target Surveillance Radar Based on Improved Filtering Algorithm

Zheng¹,

Tang²,

2021

Complexity

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In order to improve the surveillance effect of the aviation target surveillance radar, this paper improves the traditional filtering algorithm and builds the channel optimization system of the ADS-B aviation target surveillance radar based on the improved filtering algorithm. Moreover, this paper uses algorithm improvement to ensure the positive definite or semipositive definiteness of the state covariance and uses the root mean square volume Kalman filter to avoid the filter divergence or tracking interruption caused by the nonpositive definiteness of the matrix; the filtering principle of the interactive multimodel is to use multiple filters for parallel processing and achieve the adaptive adjustment algorithm residual error by adjusting the one-step prediction covariance in the adjustment algorithm. In addition, this paper combines the actual needs to construct a system functional structure to optimize the channel of the ADS-B aviation target surveillance radar and uses software engineering methods to model and analyze the requirements. Finally, this paper designs experiments to verify system performance. The research results show that the performance of the system constructed in this paper meets actual needs.

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ADS-B spoofing attack detection method based on LSTM

Cited by 26 publications

References 27 publications

Advancements in ADS-B Security: A Comprehensive Survey of Vulnerabilities, Mitigation Strategies, System Requirements, and Emerging Research Trends

Advancements in ADS-B Security: A Comprehensive Survey of Vulnerabilities, Mitigation Strategies, System Requirements, and Emerging Research Trends

Spoofing in aviation: Security threats on GPS and ADS-B systems

Research on Channel Optimization of Ads‐B Aviation Target Surveillance Radar Based on Improved Filtering Algorithm

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