Browsing Theses by Subject "Anomaly Detection"
Now showing items 1-7 of 7
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Anomaly Detection and Fault Localization Using Runtime State Models
(University of Waterloo, 2016-05-20)Software systems are impacting every aspect of our daily lives, making software failures expensive, even life endangering. Despite rigorous testing, software bugs inevitably exist, especially in complex systems. Existing ... -
A Class of Augmented Convolutional Networks Architectures for Efficient Visual Anomaly Detection
(University of Waterloo, 2021-07-23)Visual anomaly detection, the task of isolating visual data that do not conform to the defined notion of normality, is very crucial for the autonomous functioning of entities with exceptional potential in a spectrum of ... -
Dynamic Security Orchestration System Leveraging Machine Learning
(University of Waterloo, 2018-09-20)A Content Delivery Network (CDN) employs edge-servers caching content close to end-users to provide high Quality of Service (QoS) in serving digital content. Attacks against edge-servers are known to cause QoS degradation ... -
A Methodology for Reliable Detection of Anomalous Behavior in Smartphones
(University of Waterloo, 2018-01-22)Smartphones have become the most preferred computing device for both personal and business use. Different applications in smartphones result in different power consumption patterns. The fact that every application has ... -
Mining Event Traces from Real-time Systems for Anomaly Detection
(University of Waterloo, 2019-02-19)Real-time systems are a significant class of applications, poised to grow even further as autonomous vehicles and the Internet of Things (IoT) become a reality. The computation and communication tasks of the underlying ... -
Signal Processing for Trace-based Anomaly Detection in Embedded Software
(University of Waterloo, 2016-01-21)Embedded operating systems generate a log of operating system function calls which we refer to as traces. Trace-based anomaly detection deals with the problem of determining whether or not an instance of traces represents ... -
Unsupervised Spectral Ranking For Anomaly Detection
(University of Waterloo, 2014-09-10)Anomaly detection is the problem of finding deviations from expected normal patterns. A wide variety of applications, such as fraud detection for credit cards and insurance, medical image monitoring, network intrusion ...