LLMSec-AV: A Vulnerability Taxonomy and LLM-Driven Software Weakness Discovery Framework for Autonomous Vehicles

Automated vehicles rely on millions of lines of safety-critical software, yet general-purpose analyzers do not understand which code can affect vehicle motion. This study asks whether large language models LLMs with explicit automated-vehicle AV security knowledge improve weakness detection beyon...

Structured Driving-State Narratives for Small Language Model-Based GNSS Spoofing Detection

Autonomous vehicles AVs depend on reliable Global Navigation Satellite System GNSS positioning. However, spoofed GNSS signals can induce plausible but incorrect vehicle states. This study develops a small language model SLM-based framework for detecting and classifying GNSS spoofing attacks by...

Anywhere, Any-Stymie: Remote Activation of Trojan Malware on LiDAR with Modulated Signals

LiDAR sensors are widely deployed in autonomous systems for 3D perception and safety-critical decision-making. We identify a previously unexplored attack surface in which dormant malware embedded in the LiDAR sensing pipeline remains inactive during normal operation and can be externally triggere...

AI vs. Human Drivers

Two competing arguments are making the rounds. The first is by a neurosurgeon in the New York Times. In an op-ed that honestly sounds like it was paid for by Waymo, the author calls driverless cars a "public health breakthrough": In medical research, there’s a practice of ending a study early whe...

Scalable Hierarchical AI-Blockchain Framework for Real-Time Anomaly Detection in Large-Scale Autonomous Vehicle Networks

The security of autonomous vehicle networks is facing major challenges, owing to the complexity of sensor integration, real-time performance demands, and distributed communication protocols that expose vast attack surfaces around both individual and network-wide safety. Existing security schemes...

Seeing Is Deceiving: Mirror-Based LiDAR Spoofing for Autonomous Vehicle Deception

Autonomous vehicles AVs rely heavily on LiDAR sensors for accurate 3D perception. We show a novel class of low-cost, passive LiDAR spoofing attacks that exploit mirror-like surfaces to inject or remove objects from an AV's perception. Using planar mirrors to redirect LiDAR beams, these attacks...

Jamming-Resistant AAV Communications: a Multichannel-Aided Approach

Jamming cancellation is essential to reliable unmanned autonomous vehicle AAV communications in the presence of malicious jammers. In this paper, we develop a practical multichannel-aided jamming cancellation method to realize secure AAV communications. The proposed method is capable of...

Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification

Deep learning DL-based image classification models are essential for autonomous vehicle AV perception modules since incorrect categorization might have severe repercussions. Adversarial attacks are widely studied cyberattacks that can lead DL models to predict inaccurate output, such as incorrect...

A cyber warning light. The canary in the mine

One of the most difficult challenges for any sector is trying to alert an audience without skills in ‘cyber’ to the presence of unusual activity that might suggest a hack or other security tampering. What if we could alert a ship’s captain, an airplane pilot, car driver or machine operator that...

autonomousvehicletechnologyexpo.com XSS vulnerability

Open Bug Bounty ID: OBB-702477 Description| Value ---|--- Affected Website:| autonomousvehicletechnologyexpo.com Open Bug Bounty Program:| Create your bounty program now. It's open and free. Vulnerable Application:| hidden until disclosure Vulnerability Type:| XSS Cross Site Scripting / CWE-79...

IoT is Insecure, Get Over It! Say Researchers

BOSTON—Noted security experts Charlie Miller and Chris Valasek said the Internet of Things can’t be secure, but it can be tamed. Drawing from their car hacking experience, the two spent the morning contemplating the larger universe of IoT security and conceded that there will always be thousands ...

Consortium Publishes Manifesto on Autonomous Vehicle Security

Intel, Uber and IoT company Aeris have joined forces in an effort aimed at fostering industry cooperation when it comes to building safety features into autonomous vehicles and the systems that support them. Today the group, which goes by the name Future of Automotive Security Technology Research...