A detection and identification method based on signal power for different types of Electronic Jamming attacks on GPS signals

Elezi, Esat; Cankaya, Goksel; Boyacı, Ali; Yarkan, Serhan

doi:10.1109/pimrc.2019.8904129

Cited by 14 publications

(5 citation statements)

References 9 publications

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“…However, GPS and other communication systems are particularly vulnerable to jamming attacks. When a GPS system is jammed, it becomes difficult to determine the accurate position, velocity, and time information required for navigation [105]. IMUs and LIDAR systems, which rely on accurate positional data, can also be affected by jamming attacks.…”

Section: Jamming Attacksmentioning

confidence: 99%

Securing the Future: A Comprehensive Review of Security Challenges and Solutions in Advanced Driver Assistance Systems

Mehta,

Padaria,

Bavisi

et al. 2024

IEEE Access

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Advanced Driver Assistance Systems (ADAS) are advanced technologies that assist drivers with vehicle operation and navigation. Recent improvements and brisk expansion in the ADAS market, as well as an increase in the frequency of incidents such as sensor spoofing, communication interruption etc., in autonomous vehicles (AVs), have raised the need to research ADAS security technology. The security issues raised by incorporating these technologies into automobiles must be addressed to protect the privacy and safety of passengers and other road users. As a result, the purpose of this research is to investigate the security issues that arise from the integration of ADAS technologies. Addressing these challenges holds the potential to establish a foundation for enhanced safety and dependability within transportation networks amidst the ongoing advancements in vehicle technology. This paper starts by describing the vulnerabilities, threats, assaults, and defense mechanisms of the ADAS. It then delves into the attacks and countermeasures in three categories, namely VANET, Hardware, and Adversarial attacks.VANET attacks encompass threats targeting Vehicular Ad Hoc Networks, aiming to disrupt communication among vehicles or between vehicles and infrastructure. Hardware attacks focus on vulnerabilities within the physical components of ADAS, including sensors, processors, or communication modules. Adversarial attacks involve deliberate manipulations or perturbations introduced into machine learning models or algorithms utilized within ADAS. These attacks aim to deceive or undermine the functionality of AI-based systems, causing misclassification, compromising system integrity, and posing risks to user safety by exploiting vulnerabilities in the AI decision-making process. Finally, this study highlights potential areas for future research, such as the utilization of artificial intelligence (AI), the necessity of industry-wide standardization, and recommends specific future work tailored to each attack described in the corresponding sections. INDEX TERMS ADAS, Advanced Driver Assistance Systems, Attacks, Countermeasures, Defences, Security, Threats I. INTRODUCTION ADAS stands for "Advanced Driver Assistance System". It describes a group of electronic devices and technologies that help drivers operate their cars more safely and effectively. ADAS has numerous electrical and digital tools that aid drivers in minimizing errors and performing parking functions, among other things. The primary goal of this study is to lessen human mistakes and prevent accidents through technologies like automatic emergency braking, collision avoidance, lane-keeping assistance, and autonomous cruise

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Section: Jamming Attacksmentioning

confidence: 99%

Securing the Future: A Comprehensive Review of Security Challenges and Solutions in Advanced Driver Assistance Systems

Mehta,

Padaria,

Bavisi

et al. 2024

IEEE Access

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“…In the literature [36,44], various approaches are proposed to solve the problem of detecting interference signals from radio systems. The selection of the appropriate method The second factor interfering with measurements in applications requiring the highest precision is the variation of the antenna phase centre position depending on the incident wavelength.…”

Section: Noise In the Gnss Receiver-identificationmentioning

confidence: 99%

Section: Simulation Studiesmentioning

confidence: 99%

“…In the remainder of this work, the element error rate BER will be determined as a function of the ratio

(energy per bit to noise density). To describe the relationship between

and the signal-to-noise ratio at the demodulator input

, the above relationship, which is true for modulated signals based on the method of bandwidth sharing with division into the frequency OFDM (Orthogonal Frequency Division Multiplexing) method with different guard interval

, symbol duration

and code efficiency

[ 44 ] values can be used.…”

Section: Simulation Studiesmentioning

confidence: 99%

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Study and Analysis of Interference Signals of the LTE System of the GNSS Receiver

Setlak¹,

Kowalik²

2021

Sensors

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Sometimes, it is impossible to conduct tests with the use of the GNSS system, or the obtained results of the measurements made differ significantly from the predicted accuracy. The most common cause of the problems (external factors, faulty results) are interference disturbances from other radio telecommunication systems. The subject of this paper is to conduct research, the essence of which is an in-depth analysis in the field of elimination of LTE interference signals of the GNSS receiver, that is based on the developed effective methods on counteracting the phenomenon of interference signals coming from this system and transmitted on the same frequency. Interference signals are signals transmitted in the GNSS operating band, and unwanted signals may cause incorrect processing of the information provided to the end-user about his position, speed, and current time. This article presents methods of identifying and detecting interference signals, with particular emphasis on methods based on spatial processing of signals transmitted by the LTE system. A comparative analysis of the methods of detecting an unwanted signal was made in terms of their effectiveness and complexity of their implementation. Moreover, the concept of a new comprehensive anti-interference solution was proposed. It includes, among others, information on the various stages of GNSS signal processing in the proposed system, in relation to the algorithms used in traditional GNSS receivers. The final part of the article presents the obtained research results and the resulting significant observations and practical conclusions.

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“…In 2019 Esat Elezi proposed a strategy that detects and identifies spoof by signal power [3]. But he did not implement it in the real world, instead, he did the simulation experiment only.…”

Section: Countermeasuresmentioning

confidence: 99%

GPS Spoofing Detection via SNR

Diao

Xin

Yang

et al. 2020

Proceedings of the 1st ACM International Workshop on Security and Safety for Intelligent Cyber-Physical Systems

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Nowadays, the use of GPS has penetrated everyone's daily life, so the safety of GPS signals has threatened all of us. Since the portable GPS spoof was proposed at the Black Hat Conference, the cost and threshold of GPS spoofing have also been getting lower and lower. However, many strategies for anti-GPS spoofing may need to add new hardware equipment or require powerful computing power. We aim to use the smallest possible cost to complete the purpose of GPS spoofing detection. In this article, we have designed There are many different detection schemes, and their detection delay and accuracy are different. To prove their feasibility, we did a real experiment. We evaluated the performance of the system based on the experiment, and the results show that the system accuracy is as high as 98%. CCS CONCEPTS • Security and privacy → Hardware attacks and countermeasures; • Information systems → Global positioning systems.

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A detection and identification method based on signal power for different types of Electronic Jamming attacks on GPS signals

Cited by 14 publications

References 9 publications

Securing the Future: A Comprehensive Review of Security Challenges and Solutions in Advanced Driver Assistance Systems

Securing the Future: A Comprehensive Review of Security Challenges and Solutions in Advanced Driver Assistance Systems

Study and Analysis of Interference Signals of the LTE System of the GNSS Receiver

GPS Spoofing Detection via SNR

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