DeepHoney: Automatic Honey Data Generation for Active Cyber Defence

DeepHoney：用于主动网络防御的自动蜂蜜数据生成

• 批准号: DP210101859
• 负责人: A/Prof Chang Xu
• 金额: $ 33.76万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-06-07 至 2024-10-13
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP210101859
• 关键词: DeepHoney; Automatic; Honey; Data; Generation

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.

该项目旨在增强网络和信息系统的安全性，使它们能够使用智能欺骗技术来实现主动检测和防御攻击。近年来，根据人类经验设计的虚拟环境-蜜罐成为吸引攻击者并捕获其交互的流行方式。然而，基于规则的蜜罐构造无法保护隐私，提高吸引力和进化系统。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的DeepHoney技术。这将通过构建下一代主动网络防御系统，使科学、社会和经济受益。