Global ETD Search

Context-Awareness for Adversarial and Defensive Machine Learning Methods in Cybersecurity

Quintal, KyleUniversité d'Ottawa / University of Ottawa2020

… Our first contribution lay within the domain of Mobile CrowdSensing (MCS). Despite its benefits, MCS requires proper security solutions to prevent various attacks, notably injection attacks. Our smart-injection model, SINAM, monitors data traffic in an online-learning manner, simulating an …

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MODELING AND RESOURCE ALLOCATION IN MOBILE WIRELESS NETWORKS

Wang, Jing

… network can also be provisioned as a service to Mobile Virtual Network Operators (MVNOs), which we refer to as Radio-as-a-Service (RaaS). In this thesis, we present a novel auction-based model to enable fair pricing and fair resource allocation according to real-time needs of MVNOs for RaaS. …

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Mobile health solutions and apps for tinnitus : systematic identification, objective quality assessment, and development of ecological momentary assessment apps

Mehdi, MuntazirUniversität Ulm

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Optimal Order Assignment with Minimum Wage Consideration (OOAMWC)

ALAZMI, HAKEM2020

<p>While the application of crowdsourcing has increased over the years, the technology experiences various issues during implementation. Examples of some of the issues that affect crowdsourcing include task assignment, profit maximizations, as well as time window issues. In some instances …

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Sensing and Actuation as a Service, a device-centric paradigm for the IoT: analysis, design and case studies

MERLINO, GIOVANNIUniversità degli studi di Catania2015

… a partire da una piattaforma per il "mobile crowd-sensing" di tipo opportunistico e cooperativo fino ad arrivare ad un modello per Smart City "definite dal software", laddove la riconfigurazione dinamica del "cablaggio" tra oggetti in ultima istanza abilita anelli di controllo …

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