Making sense out of IoT data streamsSpeaker: Zeeshan Pervez – Paisley, United Kingdom
Topic(s): Security and Privacy
AbstractInternet-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 LectureNumber of Slides: 35
Duration: 60 minutes
Languages Available: English
Request this Lecture
To request this particular lecture, please complete this online form.
Request a Tour
To request a tour with this speaker, please complete this online form.
All requests will be sent to ACM headquarters for review.