Jamming attacks and anti-jamming strategies in wireless networks: A comprehensive survey

H Pirayesh, H Zeng - IEEE communications surveys & tutorials, 2022 - ieeexplore.ieee.org
Wireless networks are a key component of the telecommunications infrastructure in our
society, and wireless services become increasingly important as the applications of wireless …

Autonomous driving security: State of the art and challenges

C Gao, G Wang, W Shi, Z Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The autonomous driving industry has mushroomed over the past decade. Although
autonomous driving has undoubtedly become one of the most promising technologies of this …

A review on safety failures, security attacks, and available countermeasures for autonomous vehicles

J Cui, LS Liew, G Sabaliauskaite, F Zhou - Ad Hoc Networks, 2019 - Elsevier
Autonomous vehicles (AVs) attract a lot of attention recently. They are expected to
assist/replace the human drivers in maneuvering the vehicle, thereby reducing the likelihood …

Graph-theoretic approaches for analyzing the resilience of distributed control systems: A tutorial and survey

M Pirani, A Mitra, S Sundaram - Automatica, 2023 - Elsevier
As the scale of distributed control systems over networks increases and interactions
between different subsystems become more sophisticated, questions of the resilience of …

A taxonomy and survey of cyber-physical intrusion detection approaches for vehicles

G Loukas, E Karapistoli, E Panaousis, P Sarigiannidis… - Ad Hoc Networks, 2019 - Elsevier
With the growing threat of cyber and cyber-physical attacks against automobiles, drones,
ships, driverless pods and other vehicles, there is also a growing need for intrusion …

Vehicular platoon communication: Architecture, security threats and open challenges

SJ Taylor, F Ahmad, HN Nguyen, SA Shaikh - Sensors, 2022 - mdpi.com
The emerging technology that is vehicular platooning is an exciting technology. It promises
to save space on congested roadways, improve safety and utilise less fuel for transporting …

Jamming detection and classification in OFDM-based UAVs via feature-and spectrogram-tailored machine learning

Y Li, J Pawlak, J Price, K Al Shamaileh, Q Niyaz… - Ieee …, 2022 - ieeexplore.ieee.org
In this paper, a machine learning (ML) approach is proposed to detect and classify jamming
attacks against orthogonal frequency division multiplexing (OFDM) receivers with …

Federated-learning-empowered collaborative data sharing for vehicular edge networks

X Li, L Cheng, C Sun, KY Lam, X Wang, F Li - IEEE network, 2021 - ieeexplore.ieee.org
The Internet of Vehicles connects all vehicles and shares dynamic vehicular data via
wireless communications to effectively control vehicles and improve traffic efficiency …

Jamming attack detection in a pair of RF communicating vehicles using unsupervised machine learning

D Karagiannis, A Argyriou - vehicular communications, 2018 - Elsevier
Wireless radio frequency (RF) jamming, both intentional and unintentional, poses a serious
threat for wireless networks and wireless communications in general. Vehicular ad-hoc …

Blockchain-based distributed management system for trust in VANET

Y Inedjaren, M Maachaoui, B Zeddini… - Vehicular …, 2021 - Elsevier
Blockchain technology is gaining a lot of ground as a research topic lately. Wireless ad hoc
network researchers are studying and applying blockchain to solve security and reliability …