AGENDA
Koen Pieter Tange: rTLS: Making TLS more friendly for IoT
The Transport Security layer has grown out to be the most widely used security protocol ever. Originally designed for the Web, it can now also be seen games, industry, and even IoT. This makes it easy to assume that the TLS protocol is optimized for many use-cases. In reality, however, it is still very much designed with the Web in mind. This results in (the lacking of) security properties that you might want to have in IoT, and sometimes even completely useless functionality. In my research, I try explore where the pain points for IoT are, and propose TLS extensions that make it more suitable for IoT devices.
Sam Afzal-Houshmand: Fake Sequential Data Detection: Deep Learning Towards Enhanced Data Trustworthiness
This presentation is about mitigating colluding adversaries while at the same time efficiently managing high influx of incoming user data. The solutions proposed by me is a hybrid use of Deep Learning schemes and conventional Machine Learning classifiers for detecting and filtering out false datapoints.
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