School of Mathematical and Statistical Sciences Faculty Publications and Presentations
Document Type
Article
Publication Date
11-2023
Abstract
Vehicle automation has been in the works for a long time now. Automatic brakes, cruise control, GPS satellite navigation, etc. are all common features seen in today's automobiles. Automation and artificial intelligence breakthroughs are likely to lead to an increase in the usage of automation technologies in cars. Because of this, mankind will be more reliant on computer-controlled equipment and car systems in our daily lives. All major corporations have begun investing in the development of self-driving cars because of the rapid advancement of advanced driver support technologies. However, the level of safety and trustworthiness is still questionable. Imagine what the assailants could do if they had access to a car. Control of braking, acceleration and even steering by an attacker can have disastrous results. Most of the assaults against autonomous vehicle software and hardware are covered in this study, along with their prospective consequences. This work explores an extended analysis of the security threat and cyber-attacks on different sensors and perception systems in autonomous vehicles. This work also showed machine learning-based possible defensive techniques to prevent the security threat. An overview of most of the conceivable assaults against autonomous vehicle software and hardware and their prospective consequences is presented in this study.
Recommended Citation
Islam, Taminul, Md. Alif Sheakh, Anjuman Naher Jui, Omar Sharif, and Md Zobaer Hasan. 2023. “A Review of Cyber Attacks on Sensors and Perception Systems in Autonomous Vehicle.” Journal of Economy and Technology 1 (November): 242–58. https://doi.org/10.1016/j.ject.2024.01.002
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Publication Title
Journal of Economy and Technology
DOI
10.1016/j.ject.2024.01.002
Comments
Student publication. Under a Creative Commons license