Secure Management of Internet of Things Data for Critical Surveillance

该项目旨在开发创新的模型/算法来安全可靠地管理物联网(IoT)数据。该项目希望利用创新的数据收集、传输和分析技术，克服大规模协作传感中的安全问题，在机密信息治理领域产生新的知识。预期结果包括新的物联网抽象接口、自适应信任和完整性维护方法以及可靠的分布式数据处理机制，以缓解启用物联网的实时关键监控中的漏洞。这应该会为澳大利亚的经济带来显著的好处，其中之一是加强以消费者为中心的物联网对敏感操作的采用。

This project aims to develop innovative models/algorithms to manage Internet of Things (IoT) data safely and reliably. This project expects to generate new knowledge in the area of classified information governance using innovative data collection, transmission and analysis techniques that overcome the security concerns in large-scale collaborative sensing. Expected outcomes include novel abstract interfaces for IoT, adaptive trust and integrity preserving methods, and reliable distributed data processing mechanisms to mitigate vulnerabilities in real-time IoT-enabled critical surveillance. This should provide significant benefits to Australia's economy, one of which is the enhanced consumer-centric adoption of IoT for sensitive operations.