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TELEMETRY - Trustworthy mEthodologies, open knowLedgE & autoMated tools for sEcurity Testing of IoT software, haRdware & ecosYstems

遥测 - 值得信赖的方法，开放的知识

基本信息

批准号：
10087006
负责人：
金额：
$ 61.49万
依托单位：
UNIVERSITY OF SOUTHAMPTON
依托单位国家：
英国
项目类别：
EU-Funded
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=10087006
关键词：
TELEMETRY Trustworthy mEthodologies open knowLedgE

项目摘要

TELEMETRY will provide trustworthy tools that enable the continuous assessment of heterogenous, interlinked components & systems that constitute IoT ecosystems (interconnected IoT devices with hardware, software, services and communications infrastructure). Addressing all aspects of their lifecycle, the TELEMETRY holistic methodology and toolkit incorporates: testing for component development, testing & monitoring for component integration into systems, testing & monitoring for operation ofsystems. TELEMETRY will deliver advances in cybersecurity testing and runtime monitoring through the use of novel machine learning models and algorithms for real-time anomaly detection; dynamic risk assessment to simulate likelihood and severity of threat consequences; reputation management and privacy-preserving data sharing across independent entities (e.g. supply chains), IoT device emulation and analysis environment and lightweight approaches for trusted updates; all of which that promotes a cycle of continuous improvement and assurance across design and runtime phases. TELEMETRY will leverage 3 exemplar use cases representing diverse, complex IoT ecosystems and IoT supply chains in aerospace, smart manufacturing and telecommunications domains to drive the design and validation of the proposed tools and methodologies. This will lead to significant improvements with respect to accuracy of threat and vulnerability detection, response time and cost of testing and verification of IoT ecosystems. TELEMETRY will promote open source and knowledge sharing through engagement with relevant communities throughout the project for consultation, dissemination and exploitation of its results.

遥测将提供值得信赖的工具，支持对构成物联网生态系统(具有硬件、软件、服务和通信基础设施的互联物联网设备)的异类、相互链接的组件和系统进行持续评估。针对其生命周期的所有方面，遥测整体方法和工具包包括：组件开发测试、组件集成到系统中的测试和监测、系统运行的测试和监测。遥测将通过使用用于实时异常检测的新型机器学习模型和算法、用于模拟威胁后果的可能性和严重性的动态风险评估、跨独立实体(例如供应链)的声誉管理和隐私保护数据共享、物联网设备仿真和分析环境以及可信更新的轻量级方法来提供网络安全测试和运行时监控方面的进步；所有这些都促进了跨设计和运行时阶段的持续改进和保证的循环。遥测将利用3个示范用例，代表航空航天、智能制造和电信领域多样化、复杂的物联网生态系统和物联网供应链，以推动拟议工具和方法的设计和验证。这将在威胁和漏洞检测的准确性、响应时间以及物联网生态系统的测试和验证成本方面带来显著改善。遥测将通过在整个项目中与相关社区进行协商、传播和利用其成果来促进开放源码和知识共享。