Secure and Trustworthy Communications to Empower Intelligent IoT Systems: A Collaborative Perspective

9:30am - 10:30am
ZOOM: https://hkust.zoom.us/j/96829357353 Meeting ID: 968 2935 7353 Passcode: 106345

Abstract

Internet-of-Things (IoT) systems play critical roles in supporting diverse vertical applications by connecting massive heterogeneous devices, machines, and industrial processes. Any potential security risk in IoT systems could lead to catastrophic consequences and even system failure of critical infrastructures, particularly for applications relying on tight collaborations among distributed devices and facilities. While security is the cornerstone for many IoT applications, trust among entities and data analytics are becoming increasingly important to effectively support future IoT systems. Existing solutions often feature various distinctive weaknesses, including drastically increased time latency and communication/ computation overheads, which are extremely undesirable for delay-sensitive and resource- constrained IoT communications. Those isolated designs for a specific network, application, or a certain layer of protocol stacks treat network contexts separately as well, leading to low efficiency, robustness, and effectiveness.

To overcome the above difficulties, this talk will provide a collaborative perspective for secure and trustworthy communications as well as efficient data analytics by intelligently exploring the interactions of network contexts, communication process, and devices involved in the tasks. I will first present some results on intelligent security provision in IoT systems and graph signal processing-based IoT data analytics. Afterwards, I will briefly discuss scope for future research, including autonomous communication process-based security, trustworthy collaboration intelligence, and data analytics-oriented intelligent IoT systems.

 

讲者/ 表演者:
Dr. He FANG
Postdoctoral Associate, Department of Electrical and Computer Engineering, Western University, Canada

Biography: Dr. He FANG is currently a postdoctoral associate with the Department of Electrical and Computer Engineering at Western University, Canada, where she received the Ph.D. degree in 2020. Her research interests include intelligent security and trust provision in IoT systems, IoT data analytics and applications. One focus of her research is on the development of novel intelligent authentication schemes for security enhancement in varying wireless environments. She is also working on distributed/collaborative data analytics in IoT systems. She received Ontario Graduate Scholarships-International in both 2019 and 2020. She serves as the vice-chair of Communication & Broadcasting Chapter of IEEE London Section, Canada, as well as a TPC member and reviewer for multiple top IEEE conferences and journals.

语言
英文
适合对象
教职员
研究生
主办单位
电子及计算器工程学系
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