EPSRC DTP studentship in Cyber Security Analytics: Decision Support System on Cybersecurity Policies for Autonomous Vehicles

EPSRC DTP 网络安全分析学生奖学金：自动驾驶汽车网络安全政策决策支持系统

• 批准号: 2597921
• 金额: --
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2597921
• 关键词: EPSRC; DTP; studentship; Cyber; Security

Connected Autonomous Vehicles (CAV) are already being developed and deployed across various sectors at a rapid pace. It brings potential to enhance road safety and save lives, however, due to the autonomous nature and often being highly interconnected, CAV have safety threats of their own. These threats could range from cyber-attacks leveraging the increasing levels of connectivity of CAV, to unexpected results when operating in an uncontrolled environment. The wide use of AI technology in CAV further heightens the risk of cyber-attacks. Ongoing research is investigating the limitations and vulnerabilities of AI and how these technologies could increase the opportunities for the adversary to implement attacks against CAV. Currently, many developments of CAV technologies overlook the trustworthiness, responsibility and security of CAV, which could lead to low public acceptability of CAV and thus compromise widespread adoption of autonomous vehicles in society.To be able to safely adopt and trust AI and other technologies used in CAV, they need to be developed and tested within a social and legal context. Proactive measures should be implemented such as guidance, standards and policies, to regulate the design and deployment of CAV. Addressing these new cyber threats posed to CAV is now a top priority for policy-makers, regulators, and industry officials. The NHTSA cybersecurity guidelines provide a good initial framework for this purpose. Nevertheless, it is in general difficult for the public, policy-makers and manufacturers to make judgement and decisions about the cybersecurity of CAV. This PhD studentship aims to i) generate evidence derived from both "technology and society" to help the public to understand the opportunities and cyber threats of CAV, and decide the optimal cybersecurity policies for CAV, and ii) evaluate the effectiveness of cybersecurity policies at mitigating cyber threats posed to CAV, as well as their social impacts on drivers, manufacturers and stakeholders.

互联自动驾驶汽车(CAV)已经在各个行业快速开发和部署。它带来了提高道路安全和拯救生命的潜力，但由于其自主性和高度互联性，CAV本身也存在安全威胁。这些威胁可能包括利用CAV连接水平不断提高的网络攻击，也可能是在不受控制的环境中运行时出现意外结果。人工智能技术在CAV中的广泛使用进一步增加了网络攻击的风险。正在进行的研究正在调查人工智能的局限性和脆弱性，以及这些技术如何增加对手对CAV实施攻击的机会。目前，CAV技术的许多发展忽视了CAV的可信性、责任感和安全性，这可能导致CAV的公众接受度较低，从而危及自动驾驶汽车在社会上的广泛采用。为了能够安全地采用和信任CAV使用的人工智能和其他技术，需要在社会和法律的背景下开发和测试这些技术。应从指导意见、标准和政策等方面采取积极措施，规范CAV的设计和部署。应对这些对CAV构成的新网络威胁现在是政策制定者、监管机构和行业官员的首要任务。NHTSA的网络安全指南为这一目的提供了一个很好的初始框架。然而，公众、政策制定者和制造商总体上很难对CAV的网络安全做出判断和决定。这一博士生的目标是：i)从“技术和社会”两个方面产生证据，帮助公众了解CAV的机会和网络威胁，并决定CAV的最佳网络安全政策，以及ii)评估网络安全政策在缓解对CAV构成的网络威胁方面的有效性，以及它们对驾驶员、制造商和利益相关者的社会影响。