网络安全攻击对人类对自动驾驶汽车运营的信任的影响
Cherin Lim1, David Prendez1, Linda Ng Boyle2
1University of Washington, USA.
Human factors
|September 18, 2024
概括
对自动驾驶汽车 (AV) 的网络安全攻击严重损害了驾驶员的信任,即使在无错驾驶后. 安全更新并没有显著改善信任修复,突出了对自适应性AI系统的需求.
科学领域:
- 人与计算机的互动.
- 网络安全 网络安全
- 自动驾驶汽车的安全问题
背景情况:
- 人类的信任对于自动驾驶汽车 (AV) 的采用至关重要.
- 网络攻击对AV安全和用户信任构成重大风险.
- 了解攻击后的信任动态对于AV开发至关重要.
研究的目的:
- 调查网络安全攻击对人类对自动驾驶汽车信任的影响.
- 评估安全更新对信任修复的有效性.
- 分析网络攻击后司机行为的变化.
主要方法:
- 一个驾驶模拟器研究与40名参与者.
- 随机分配到"经验和反"或"仅经验"组.
- 基线,攻击和攻击后驱动器测量信任和脚位.
主要成果:
- 网络攻击显著降低了人们对自动驾驶汽车的信任.
- 即使在没有错误的攻击后驱动器之后,信任仍然很低.
- 安全更新并没有实质性地恢复信任.
结论:
- 对自动驾驶汽车的信任是动态的,并受到网络安全事件的影响.
- 自主系统需要在攻击后适应性信任校准机制.
- 互动设计是恶意事件后重建信任的关键.
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