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PRIVACY-PRESERVING DECENTRALIZED INTRUSION DETECTION SYSTEM FOR IOT DEVICES USING DEEP LEARNING
(Computer Science, 2022 , Dissertation)
The convergence of advanced networking, breakthrough distributed systems technologies,
and smart services has rapidly expanded the threat landscape for IoT devices.
Researchers have been looking into lightweight and ...
INTELLIGENT AGENT-BASED 3D SIMULATION OF COVID-19 FOR ANALYSIS OF SOCIAL CONTROL MEASURES
(Computing, 2022 , Master Thesis)
The aim of this research is to model and simulate the recent and ongoing COVID-19 pandemic in terms of virus contagiousness among mixed groups of patients, carriers, and unaffected populations. The focus is on closed ...
ENHANCING THE PERFORMANCE AND SECURITY OF ANONYMOUS COMMUNICATION NETWORKS
(Computer Science, 2022 , Dissertation)
With the increasing importance of the Internet in our daily lives, the private information
of millions of users is prone to more security risks. Users data are collected
either for commercial purposes and sold by service ...
DID I SEE IT BEFORE? RETRIEVING PREVIOUSLY CHECKED CLAIMS OVER TWITTER
(Computing, 2022 , Master Thesis)
With the proliferation of fake news in the last few years, especially during COVID-
19, combating the spread of misinformation has become a social and political urgent
need. Fact-checkers and journalists need to identify ...
REINFORCEMENT LEARNING BASED APPROACHES FOR RESOURCE ALLOCATION IN SMART HEALTH SYSTEMS.
(Computing, 2022 , Master Thesis)
With the emergence of smart health (s-health) applications and services, several requirements for quality have arisen to foresee and react instantaneously to emergency circumstances. Such conditions demand adaptive fast-acting ...