Authentication for drone delivery through a novel way of using face biometrics
Authentication for drone delivery through a novel way of using face biometrics
复制标题
DOI：
10.1145/3495243.3560550
复制
发表时间：
2022-10
期刊：
影响因子：
--
通讯作者：
Jonathan Sharp;Chuxiong Wu;Qiang Zeng
中科院分区：
文献类型：
--
作者：
Jonathan Sharp;Chuxiong Wu;Qiang Zeng
无人驾驶飞机（UAVS）是一项新兴服务。为了确保合法无人机拾取包裹并将其交付给正确的用户，无人机和用户之间的相互认证至关重要。由于交付无人机很昂贵并且可能携带重要的包装，因此无人机应与用户保持距离，直到身份验证成功。因此，无法应用需要人形无人机物理接触的身份验证方法。面部识别不需要人类无人机接触。但是，它具有主要局限性：（1）它需要用户注册其面部信息，（2）它很容易受到攻击，例如3D打印的面具和对抗性示例，（3）它仅支持无人机来验证一个身份验证用户（而不是相互认证）。我们提出了一种使用面部生物识别技术的新型方法，而没有这些局限性，并将其应用于构建用于无人机交付的身份验证系统，名为Smile2auth。评估表明Smile2auth具有高度准确，安全和可用的。
Drone delivery, which makes use of unmanned aerial vehicles (UAVs) to deliver or pick up packages, is an emerging service. To ensure that a package is picked up by a legitimate drone and delivered to the correct user, mutual authentication between drones and users is critical. As delivery drones are expensive and may carry important packages, drones should keep a distance from users until the authentication succeeds. Thus, authentication approaches that require human-drone physical contact cannot be applied. Face recognition does not need human-drone contact. However, it has major limitations: (1) it needs users to enroll their face information, (2) it is vulnerable to attacks, such as 3D-printed masks and adversarial examples, and (3) it only supports a drone to authenticate a user (rather than mutual authentication). We propose a novel way of using face biometrics, without these limitations, and apply it to building an authentication system for drone delivery, named Smile2Auth. The evaluation shows that Smile2Auth is highly accurate, secure and usable.