DeepHoney: Automatic Honey Data Generation for Active Cyber Defence

此计划旨在加强网络和资讯系统的保安，使其具备智能欺骗技术，以主动侦测和防御攻击。近年来，基于人类经验设计的虚拟环境——蜜罐（honeypot）越来越流行，用来吸引攻击者并捕捉他们之间的互动。然而，基于规则的蜜罐结构在保护隐私、提高吸引力和促进系统发展方面存在缺陷。该项目预计将推进深度学习，并通过相关出版物和开源软件产生新颖的DeepHoney技术。通过构建下一代主动网络防御系统，这将有利于科学、社会和经济。

This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems.