Now showing items 1-6 of 6
A secure and privacy-preserving incentive framework for vehicular cloud
Vehicular Cloud Computing (VCC) plays a critical role in data generation where a large number of vehicles collect various kinds of sensing resources with large-volume features. While the information that should be collected ...
Towards efficient and scalable computer vision systems
There is a large growth in hardware and software systems capable of producing vast amounts of image and video data. These systems are rich sources of continuous and possibly infinite image and video streams. This motivates ...
A study of password recall, perceived memorability, and strength using BCIs
Passwords are considered the most common method of authentication and studies are frequently conducted to understand users' password habits. In this thesis, we run two empirical studies that provide information to further ...
Towards implicit learning of system-assigned authentication tokens
People tend to choose predictable passwords which are vulnerable to guessing attacks. To combat the security issue, system-assigned authentication keys were proposed, but coming at a cost to memorability. In this thesis, ...
The ecotoxicological effects of metformin and its metabolite, guanylurea, on Japanese medaka (Oryzias latipes)
Human pharmaceutical waste threatens many natural processes of non-target aquatic organisms, through the introduction of such contaminants into the environment. Pharmaceuticals are a large and diverse groups of medicinal ...
Secure and privacy-preserving fog-assisted vehicular crowdsensing
Vehicular crowdsensing (VCS) is an emerging paradigm where vehicles use onboard sensors to collect and share data with the aim of measuring phenomena of common interest. VCS has allowed for automated control as well as ...