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Friday, May 28, 2021
The key motivation for this work is that future smart services (e.g. IoT applications) will have competing and perhaps conflicting networking performance requirements. These services will also require flexible and agile deployment. 5G networks, an essential component of future virtualized infrastructures, deal with this issue – in part – by... More
In this research, we address resourced-constrained mobile devices’ ability to get computing support from external sources. This could enhance the performance of their applications and extend their battery life by resource augmentation techniques where more powerful computing sources support the mobile devices. We investigate this in the context... More
This project enables us to demonstrate the effects of adversarial samples on deep learning-based intrusion detection systems within the context of IoT networks. Our experimental results illustrate the vulnerability of deep learning-based intrusion detection systems. It also provides a performance comparison between the feed forward neural networks... More
This research aims at verifying location claims of Internet clients. A wide spectrum of location-sensitive Internet applications could benefit from verifying location assertions. To that end, we designed Client Presence Verification (CPV), a delay-based mechanism by which a location assertion could be verified to a certain degree of granularity.... More
In this project, we introduce the use of adaptive controllers into software-defined networking (SDN), and propose the use of adaptive consistency models in the context of distributed SDN controllers. These adaptive controllers can tune their own configurations in real-time in order to enhance the performance of the applications running on top of... More
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