Making sense out of IoT data streams

Speaker:  Zeeshan Pervez – Paisley, United Kingdom
Topic(s):  Security and Privacy

Abstract

Internet-of-Things (IoT) generates enormous data streams from a sensing and actuating environment. Extracting valuable information from these data streams enables service providers (smart cities, industry 4.0, healthcare etc.) to customize their services mainly driven by the quality of service, user preferences, and increased return over investment. However, extracting information from these data streams puts the privacy of individuals at risk. In this lecture, I will explain why conventional anonymisation approaches fall short in ensuring the privacy of IoT users and their associated personal data. I will also present the latest developments in the area of data stream anonymisation which enables service providers to make sense out of IoT data streams whilst ensuring the privacy of individuals’ remains intact.

About this Lecture

Number of Slides:  35
Duration:  60 minutes
Languages Available:  English
Last Updated: 

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