Aztarna，机器人的足迹工具
Aztarna, a footprinting tool for robots
摘要：
工业4.0正在改变人们普遍认为的机器人将被部署在封闭和孤立的网络中的假设。从安全的角度分析，全球的情况令人沮丧：机器人行业并没有认真分配努力，以遵循生产的机器人的良好安全实践。相反，大多数制造商不断将问题转发给这些机器的最终用户。正如在以前的技术革命中所学到的那样，例如在个人电脑或智能手机的曙光中，需要及时采取行动以避免灾难性的后果。为了给机器人和安全社区提供正确的工具来进行评估，在本文中，我们介绍了aztarna，一个机器人足迹工具。我们讨论了如何这样的工具可以促进识别不同的机器人的痕迹的过程中，同时保持一个可扩展的结构，旨在为未来的指纹扩展。通过这一贡献，我们的目标是提高机器人社区、机器人制造商和机器人最终用户对启动全球行动以拥抱安全的必要性的认识和兴趣。我们开源了该工具，并披露了初步结果，展示了当前行业的不安全状况。我们认为，机器人生态系统需要产生一个机器人安全社区，意识到良好的实践，并通过正确的工具授权。
英文摘要：
Industry 4.0 is changing the commonly held assumption that robots are to be deployed in closed and isolated networks. When analyzed from a security point of view, the global picture is disheartening: robotics industry has not seriously allocated effort to follow good security practices in the robots produced. Instead, most manufacturers keep forwarding the problem to the end-users of these machines. As learned in previous technological revolutions, such as at the dawn of PCs or smartphones, action needs to be taken in time to avoid disastrous consequences. In an attempt to provide the robotics and security communities with the right tools to perform assessments, in this paper we present aztarna, a footprinting tool for robotics. We discuss how such tool can facilitate the process of identifying vestiges of different robots, while maintaining an extensible structure aimed for future fingerprinting extensions. With this contribution, we aim to raise awareness and interest of the robotics community, robot manufacturers and robot end-users on the need of starting global actions to embrace security. We open source the tool and disclose preliminary results that demonstrate the current insecurity landscape in industry. We argue that the robotic ecosystem is in need of generating a robot security community, conscious about good practices and empowered by the right tools.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
