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Advanced driver assistance systems (ADASs) were developed to reduce the number of car accidents by issuing driver alert or controlling the vehicle. In this paper, we tested the robustness of Mobileye, a popular external ADAS. We injected…

Cryptography and Security · Computer Science 2019-06-25 Dudi Nassi , Raz Ben-Netanel , Yuval Elovici , Ben Nassi

In Autonomous Vehicles (AVs), one fundamental pillar is perception, which leverages sensors like cameras and LiDARs (Light Detection and Ranging) to understand the driving environment. Due to its direct impact on road safety, multiple prior…

Cryptography and Security · Computer Science 2019-08-21 Yulong Cao , Chaowei Xiao , Benjamin Cyr , Yimeng Zhou , Won Park , Sara Rampazzi , Qi Alfred Chen , Kevin Fu , Z. Morley Mao

The Adaptive Cruise Control (ACC) system automatically adjusts the vehicle speed to maintain a safe distance between the vehicle and the lead (ahead) vehicle. The controller's decision to accelerate or decelerate is computed using the…

Cryptography and Security · Computer Science 2023-02-03 Mubark B. Jedh , Lotfi ben Othmane , Arun K. Somani

In recent advancements in connected and autonomous vehicles (CAVs), automotive ethernet has emerged as a critical technology for in-vehicle networks (IVNs), superseding traditional protocols like the CAN due to its superior bandwidth and…

Cryptography and Security · Computer Science 2024-08-09 Ki Beom Park , Huy Kang Kim

With the development of autonomous vehicle technology, the controller area network (CAN) bus has become the de facto standard for an in-vehicle communication system because of its simplicity and efficiency. However, without any encryption…

Cryptography and Security · Computer Science 2022-04-05 Thien-Nu Hoang , Daehee Kim

A Controller Area Network (CAN) bus in the vehicles is an efficient standard bus enabling communication between all Electronic Control Units (ECU). However, CAN bus is not enough to protect itself because of lack of security features. To…

Cryptography and Security · Computer Science 2019-07-18 Eunbi Seo , Hyun Min Song , Huy Kang Kim

Autonomous vehicles rely on LiDAR sensors to detect obstacles such as pedestrians, other vehicles, and fixed infrastructures. LiDAR spoofing attacks have been demonstrated that either create erroneous obstacles or prevent detection of real…

Systems and Control · Electrical Eng. & Systems 2023-02-16 Hongchao Zhang , Zhouchi Li , Shiyu Cheng , Andrew Clark

The progression of innovation and technology and ease of inter-connectivity among networks has allowed us to evolve towards one of the promising areas, the Internet of Vehicles. Nowadays, modern vehicles are connected to a range of…

Cryptography and Security · Computer Science 2022-05-10 Ajeet Kumar Dwivedi

Camera-based computer vision is essential to autonomous vehicle's perception. This paper presents an attack that uses light-emitting diodes and exploits the camera's rolling shutter effect to create adversarial stripes in the captured…

Cryptography and Security · Computer Science 2024-07-11 Dongfang Guo , Yuting Wu , Yimin Dai , Pengfei Zhou , Xin Lou , Rui Tan

Autonomous Vehicles (AVs) heavily rely on sensors and communication networks like Global Positioning System (GPS) to navigate autonomously. Prior research has indicated that networks like GPS are vulnerable to cyber-attacks such as spoofing…

Autonomous vehicles (AVs) rely heavily on cameras and artificial intelligence (AI) to make safe and accurate driving decisions. However, since AI is the core enabling technology, this raises serious cyber threats that hinder the large-scale…

Cryptography and Security · Computer Science 2025-07-17 Yago Romano Martinez , Brady Carter , Abhijeet Solanki , Wesam Al Amiri , Syed Rafay Hasan , Terry N. Guo

The Controller Area Network (CAN) is used for communication between in-vehicle devices. The CAN bus has been shown to be vulnerable to remote attacks. To harden vehicles against such attacks, vehicle manufacturers have divided in-vehicle…

Cryptography and Security · Computer Science 2021-06-16 Efrat Levy , Asaf Shabtai , Bogdan Groza , Pal-Stefan Murvay , Yuval Elovici

In a modern vehicle, there are over seventy Electronics Control Units (ECUs). For an in-vehicle network, ECUs communicate with each other by following a standard communication protocol, such as Controller Area Network (CAN). However, an…

Machine Learning · Computer Science 2020-09-01 Yi Li , Jing Lin , Kaiqi Xiong

As connected and autonomous vehicles proliferate, the Controller Area Network (CAN) bus has become the predominant communication standard for in-vehicle networks due to its speed and efficiency. However, the CAN bus lacks basic security…

Cryptography and Security · Computer Science 2024-08-19 Muzun Althunayyan , Amir Javed , Omer Rana

This paper presents a simple yet efficient method for an anomaly-based Intrusion Detection System (IDS). In reality, IDSs can be defined as a one-class classification system, where the normal traffic is the target class. The high diversity…

Machine Learning · Computer Science 2019-04-29 Bahram Mohammadi , Mohammad Sabokrou

Anomaly driving detection is an important problem in advanced driver assistance systems (ADAS). It is important to identify potential hazard scenarios as early as possible to avoid potential accidents. This study proposes an unsupervised…

Computer Vision and Pattern Recognition · Computer Science 2022-03-17 Yuning Qiu , Teruhisa Misu , Carlos Busso

Network Intrusion Detection Systems (NIDS) are essential tools for detecting network attacks and intrusions. While extensive research has explored the use of supervised Machine Learning for attack detection and characterisation, these…

Cryptography and Security · Computer Science 2026-04-23 Georgios Anyfantis , Pere Barlet-Ros

Controller Area Network (CAN) is one of the in-vehicle network protocols that is used to communicate among Electronic Control Units (ECUs) and has been de-facto standard. CAN is simple and has several vulnerabilities such as unable to…

Networking and Internet Architecture · Computer Science 2020-09-29 Shuji Ohira , Araya Kibrom Desta , Tomoya Kitagawa , Ismail Arai , Kazutoshi Fujikawa

As autonomous vehicles become an essential component of modern transportation, they are increasingly vulnerable to threats such as GPS spoofing attacks. This study presents an adaptive detection approach utilizing a dynamically tuned…

As electronic systems become increasingly complex and prevalent in modern vehicles, securing onboard networks is crucial, particularly as many of these systems are safety-critical. Researchers have demonstrated that modern vehicles are…

Cryptography and Security · Computer Science 2024-12-31 Chunheng Zhao , Stefano Longari , Michele Carminati , Pierluigi Pisu
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