T-PAAD: Trajectory Privacy Attack on Autonomous Driving

Banihani, Abdelnasser; Alzahrani, Abdulrahman; Alharthi, Raed; Fu, Huirong; Corser, George

doi:10.1109/cns.2018.8433168

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…Security and privateers' issues with self-driving cars and different self-reliant cars are still prevalent. e authors of [30] provided a new viable assault trajectory privacy attack on autonomous driving (T-PAAD) that was aimed at privateers in AVs, in which an adversary deanonymizes the usage trajectories of the present course, making different planning techniques.…”

Section: Reat and Attacks Onmentioning

confidence: 99%

“…Gaining control of the eldercare robot to monitor its user looking for data Standardized operating system Trajectory privacy attack on autonomous driving [30] Self-driving cars Trajectory privacy attack -Cybersecurity in autonomous cars [31] Self-driving cars OS upgrade attack -Risk and opportunity governance of autonomous cars [33] Self-driving cars Services attack -Contactless attacks against sensors of self-driving [34] Self-driving cars Sensor attacks Software and hardware countermeasures that will improve sensor resilience against these attacks operating systems (ROS) will be beneficial in these application areas. (ii) Robot operating systems (ROS) in the future need to be networked in environments where they can communicate with cloud services and industrialbased control systems from remote locations.…”

Section: Open Challenges and Issuesmentioning

confidence: 99%

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Cyberattacks on Self-Driving Cars and Surgical and Eldercare Robots

Alshamrani

Alkhudadi

Almtrafi

2022

Security and Communication Networks

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Robots have improved human life and increased the efficiency of performance in tasks that require precision and effort. For example, surgical robots are now used to perform precise surgical procedures and give accurate results. Moreover, robots are also used in elderly care to ease their lives. Perhaps there can even be self-driving cars that could deliver a person to their destination without the need of a driver. So it is very important to mention that these robots should be secure in terms of security for human life. Hence, this paper aims to explore the published studies on robots and their various security vulnerabilities. We review the most prominent weaknesses in the robotic operating system (ROS) and discuss some types of attacks against these robots. Also, this paper discusses the security enhancements to protect ROS that researchers have suggested protecting against some of the attacks and vulnerabilities that may occur on these robots. The primary findings of this work are to generate system copies for backup as well as encryption to protect against information disclosure. Also, a dynamic model is needed to detect and mitigate attacks that may occur in a physical manner, such as injecting malware into robots.

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Section: Reat and Attacks Onmentioning

confidence: 99%

Section: Open Challenges and Issuesmentioning

confidence: 99%

Cyberattacks on Self-Driving Cars and Surgical and Eldercare Robots

Alshamrani

Alkhudadi

Almtrafi

2022

Security and Communication Networks

View full text Add to dashboard Cite

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Designing a 6G Testbed for Location: Use Cases, Challenges, Enablers and Requirements

Khatib¹,

Álvarez‐Merino²,

Luo-Chen³

et al. 2023

IEEE Access

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Location will have a central role in Research and Development (R&D) towards 6G networks, both as a service offered by the network (improving the current offering of 5G) and as an input to increasingly location-aware services and network functions. To integrate location into 6G standards, it will be very important to design validation systems such as testbeds, even when the actual technology is not yet commercially available. This paper performs a review of the use cases and their requirements, enabling technologies in 6G, and challenges; and proposes a flexible testbed architecture for performing network location related R&D. This architecture will allow to deploy an evolving infrastructure which will allow early validation of 6G technologies.

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A Blockchain-Enabled Federated Learning System with Edge Computing for Vehicular Networks

Huang

Zhang

et al. 2021

2021 IEEE Globecom Workshops (GC Wkshps)

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T-PAAD: Trajectory Privacy Attack on Autonomous Driving

Cited by 6 publications

References 3 publications

Cyberattacks on Self-Driving Cars and Surgical and Eldercare Robots

Cyberattacks on Self-Driving Cars and Surgical and Eldercare Robots

Designing a 6G Testbed for Location: Use Cases, Challenges, Enablers and Requirements

A Blockchain-Enabled Federated Learning System with Edge Computing for Vehicular Networks

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