Proactive Eavesdropping via Jamming for Trajectory Tracking of UAVs

Li, Kai; Kanhere, Salil S.; Ni, Wei; Tovar, Eduardo; Guizani, Mohsen

doi:10.1109/iwcmc.2019.8766696

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…Hence, depending upon these situation, different RF jamming techniques will be more efficient for effectively introducing interference at the RF re- ceiver. The different types of RF jamming techniques available in literature [109] , [110] , [111] are discussed in this section . In addition to these, GNSS jamming has been discussed as a subsection due to its relevance to the subject (although it is not a different type of jamming and a specific case of the preceding types).…”

Section: Uav Neutralizing Techniquesmentioning

confidence: 99%

A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

et al. 2021

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Unmanned Aerial Vehicles (UAV) have revolution- ized the aircraft industry in this decade. UAVs are now capable of carrying out remote sensing, remote monitoring, courier delivery, and a lot more. A lot of research is happening on making UAVs more robust using energy harvesting techniques to have a better battery lifetime, network performance and to secure against attackers. UAV networks are many times used for unmanned missions. There have been many attacks on civilian, military, and industrial targets that were carried out using remotely controlled or automated UAVs. This continued misuse has led to research in preventing unauthorized UAVs from causing damage to life and property. In this paper, we present a literature review of UAVs, UAV attacks, and their prevention using anti-UAV techniques. We first discuss the different types of UAVs, the regulatory laws for UAV activities, their use cases, recreational, and military UAV incidents. After understanding their operation, various techniques for monitoring and preventing UAV attacks are described along with case studies.

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Section: Uav Neutralizing Techniquesmentioning

confidence: 99%

A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

et al. 2021

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“…On the other hand, the legitimate receiver applies self-interference cancellation to filter out noise and interference signals. Table 9 summarizes research works on the legitimate eavesdropping approach [123], [124], [125], [126], [127], [128], [129], [130], [131], [132]. The authors in [123] have considered wireless surveillance in a UAV-assisted information transmission network, in which a proactive UAV legitimately intervenes the suspicious UAVs.…”

Section: Legitimate Eavesdropping Aided Phy-securitymentioning

confidence: 99%

“…They have explored a power-efficient legitimate eavesdropping scheme to jam the suspicious link by maximizing the legitimate eavesdrop packets and maintaining the SINR at the suspect node. For protection against cyber attacks, the authors in [124] have adopted a proactive UAV legitimate tracking and jamming model for suspicious eavesdroppers. Key system parameters, like eavesdropping packets, receiver's signal strength, and angle of eavesdropper's signal arrival, were estimated using the developed algorithm.…”

Section: Legitimate Eavesdropping Aided Phy-securitymentioning

confidence: 99%

Security Threats and Mitigation Techniques in UAV Communications: A Comprehensive Survey

et al. 2022

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Unmanned aerial vehicles (UAVs) have been instrumental in enabling many new applications and services, including military and rescue operations, aerial surveillance, civilian applications, precision farming, as well as providing extensive wireless network access in remote areas. They have also been used in other areas such as transmission line and oil rig monitoring, disaster recovery, etc. With their increasing payload ability and flight duration, using UAVs is a preferred choice for a multitude of upcoming wireless communication systems. However, because of their open operational nature, UAVs are highly vulnerable to severe security breaches via cyber attacks, eavesdropping on navigational and communication links, etc. Given their widespread applications, the requirement of secured UAV communications has become more and more critical since security failures can lead to detrimental consequences. Several works have examined the extent of privacy and security issues in UAV-assisted networks and introduced various mitigation techniques to address different security challenges. In this paper, a comprehensive survey is conducted that centers on the security issues related to UAV-aided networks. A descriptive taxonomy of various security intrusions on the UAV networks and commonly-used secrecy performance metrics are thoroughly reviewed. An in-depth discussion is provided on alleviating threats with proactive security techniques blended with key wireless communication technologies such as mmWave, non-orthogonal multiple access (NOMA), massive multiple-input multiple-output (MIMO), and cognitive radio. Moreover, several emerging topics like machine learning, software-defined networks, fog and edge computing, blockchain, are discussed in the context of UAV-aided secure communications.INDEX TERMS Physical layer security, unmanned aerial vehicles (UAVs), proactive mitigation techniques, secrecy metrics, emerging wireless technologies.GAURAV KUMAR PANDEY (Graduate Student Member, IEEE) received the B.Tech. degree in electrical and electronics engineering from the

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“…Several related works have been proposed in recent years. The authors of [36] considered a scenario where a legitimate UAV tracks suspicious UAV flights for preventing intended crimes. To enhance tracking accuracy, the legitimate UAV employing proactive eavesdropping and a tracking algorithm rather than radar sensing has been developed by utilizing eavesdropped information and channel state information (CSI).…”

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confidence: 99%

Design and Performance Analysis of Wireless Legitimate Surveillance Systems with Radar Function

Zhang¹,

He²,

Cai³

et al. 2023

Preprint

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Integrated sensing and communication (ISAC) has recently been considered as a promising approach to save spectrum resources and reduce hardware cost. Meanwhile, as information security becomes increasingly more critical issue, government agencies urgently need to legitimately monitor suspicious communications via proactive eavesdropping. Thus, in this paper, we investigate a wireless legitimate surveillance system with radar function. We seek to jointly optimize the receive and transmit beamforming vectors to maximize the eavesdropping success probability which is transformed into the difference of signal-tointerference-plus-noise ratios (SINRs) subject to the performance requirements of radar and surveillance. The formulated problem is challenging to solve. By employing the Rayleigh quotient and fully exploiting the structure of the problem, we apply the divideand-conquer principle to divide the formulated problem into two subproblems for two different cases. For the first case, we aim at minimizing the total transmit power, and for the second case we focus on maximizing the jamming power. For both subproblems, with the aid of orthogonal decomposition, we obtain the optimal solution of the receive and transmit beamforming vectors in closed-form. Performance analysis and discussion of some insightful results are also carried out. Finally, extensive simulation results demonstrate the effectiveness of our proposed algorithm in terms of eavesdropping success probability.

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Proactive Eavesdropping via Jamming for Trajectory Tracking of UAVs

Cited by 9 publications

References 24 publications

A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

Security Threats and Mitigation Techniques in UAV Communications: A Comprehensive Survey

Design and Performance Analysis of Wireless Legitimate Surveillance Systems with Radar Function

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