Countering HArms caused by Ransomware in the Internet Of Things (CHARIOT)

对抗物联网中勒索软件造成的危害 (CHARIOT)

• 批准号: EP/X036871/1
• 负责人: Georgios Oikonomou
• 金额: $ 58.97万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX036871%2F1
• 关键词: Countering; HArms; caused; Ransomware; Internet

The aim of the 3-year CHARIOT project is to reduce the risk and potential adverse consequences of ransomware attacks in Industrial IoT (IIoT) network deployments comprising severely constrained wireless embedded and other cyber-physical devices. Through the proposed research, we want to increase the difficulty of mounting successful ransomware attacks against IIoT and cyber-physical systems, making them less attractive targets for perpetrators.To that effect, CHARIOT will devise, design, and prototype creative, cutting-edge solutions for the detection, prevention, recovery and immunisation of/from ransomware attacks in IIoT environments.Research outcomes and artifacts will be made available to industry professionals and the IoT security research community, to benefit from our findings and to foster collaboration towards creating more secure IoT and cyber-physical ecosystems. Artifacts will include IoT ransomware datasets, a ransomware proof of concept prototype, and a toolkit for the detection, prevention, and recovery of/from ransomware attacks. These engineering artifacts will be accompanied by a set of recommendations and best practices for IoT developers and industries in general.The proposed research is aligned with the aim and objectives of the Research Institute in Trustworthy Interconnected Cyber-physical Systems (RITICS). CHARIOT is secondarily also relevant to the Research Institute in Secure Hardware and Embedded Systems (RISE) and the Research Institute in Verified Trustworthy Software Systems (VeTSS).

为期3年的CHARIOT项目旨在降低工业物联网（IIoT）网络部署中勒索软件攻击的风险和潜在不利后果，这些网络部署包括严重受限的无线嵌入式设备和其他网络物理设备。通过提出的研究，我们希望增加对工业物联网和网络物理系统进行成功勒索软件攻击的难度，使其对犯罪者的吸引力降低。为此，战车将为工业物联网环境中的勒索软件攻击的检测、预防、恢复和免疫设计、设计和原型创新的尖端解决方案。研究成果和工件将提供给行业专业人士和物联网安全研究社区，以从我们的发现中受益，并促进合作，以创建更安全的物联网和网络物理生态系统。工件将包括物联网勒索软件数据集、勒索软件概念验证原型，以及用于检测、预防和恢复勒索软件攻击的工具包。这些工程工件将伴随着一组针对物联网开发人员和整个行业的建议和最佳实践。拟议的研究符合可信互联网络物理系统研究所（RITICS）的宗旨和目标。其次，战车还与安全硬件和嵌入式系统研究所（RISE）和验证可信软件系统研究所（VeTSS）相关。

项目成果

GenGradAttack: Efficient and Robust Targeted Adversarial Attacks Using Genetic Algorithms and Gradient-Based Fine-Tuning

• DOI: 10.5220/0012314700003636
• 发表时间: 2024
• 作者: Naman Agarwal;James Pope

Spatial-Temporal Graph Neural Network for the Detection of Container Escape Events

• DOI: 10.5220/0012347800003636
• 发表时间: 2024
• 作者: Yu Guo;James Pope