[HTML][HTML] eUF: A framework for detecting over-the-air malicious updates in autonomous vehicles

A Qureshi, M Marvi, JA Shamsi, A Aijaz - Journal of King Saud University …, 2022 - Elsevier
Software updates are highly significant in autonomous vehicles. These updates are utilized
to provide enhanced features and updated security mechanisms. In order to ensure …

A study on employing uptane for secure software update ota in drone environments

S Al Blooshi, K Han - … on omni-layer intelligent systems (COINS), 2022 - ieeexplore.ieee.org
Software updates over the air (OTA) enable devices and systems to maintain up-to-date
software without physical intervention. However, software updates OTA could be the target …

Security enhancement of over-the-air update for connected vehicles

A Chawan, W Sun, A Javaid, U Gurav - … 2018, Tianjin, China, June 20-22 …, 2018 - Springer
Similar to wireless software updates for the smartphones, over the air (OTA) update is used
to update the software and firmware for various electronic control units (ECUs) in the …

Detecting malware on X86-based IoT devices in autonomous driving

W Niu, X Zhang, X Du, T Hu, X Xie… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
X86-based software runs on some mainstream autonomous driving systems to perform
intelligent operations and help to significantly improve driving safety. However …

Zero-day malware detection through unsupervised deep learning

M Mousa, AM Bahaa-Eldin, M Sobh… - … Mobile, Intelligent, and …, 2023 - ieeexplore.ieee.org
This paper investigates the problem of zero-day malicious software (Malware) detection
through unsupervised deep learning. We built a sequence-to-sequence auto-encoder model …

An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles

IA Khan, N Moustafa, D Pi, W Haider… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are
susceptible to safety and security concerns that impend people's lives. Nothing like manually …

SCRUTINIZER: Detecting Code Reuse in Malware via Decompilation and Machine Learning

O Mirzaei, R Vasilenko, E Kirda, L Lu… - Detection of Intrusions and …, 2021 - Springer
Growing numbers of advanced malware-based attacks against governments and
corporations, for political, financial and scientific gains, have taken security breaches to the …

[HTML][HTML] Systematic threat assessment and security testing of automotive over-the-air (OTA) updates

S Mahmood, HN Nguyen, SA Shaikh - Vehicular Communications, 2022 - Elsevier
Modern cars host numerous special-purpose computing and connectivity devices facilitating
the correct functioning of various in-vehicle systems. These devices host complex software …

Malware Detection in Self‐Driving Vehicles Using Machine Learning Algorithms

S Park, JY Choi - Journal of advanced transportation, 2020 - Wiley Online Library
The recent trend for vehicles to be connected to unspecified devices, vehicles, and
infrastructure increases the potential for external threats to vehicle cybersecurity. Thus …

[PDF][PDF] Uptane: Securing software updates for automobiles

T Karthik, A Brown, S Awwad, D McCoy… - … Embedded Security in …, 2016 - uptane.github.io
Software update systems for automobiles can deliver significant benefits, but, if not
implemented carefully, they could potentially incur serious security vulnerabilities. Previous …