Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 4 of 4 for “"Statistical anomaly detection"”.
-
Machine Learning–Based Detection of Network Failures in Core Network Cellular Data
… traffic volumes, as well as the ap-plication of statistical anomaly detection techniques to remove abnormal traffic fluctuations. Both offline and online learning approaches are investigated for network traffic volume prediction and network failure classification. These predictive modelling are …
-
Real-time Intrusion Detection using Multidimensional Sequence-to-Sequence Machine Learning and Adaptive Stream Processing
… There are host-based and network-based Intrusion Detection Systems (IDS's), of which there are each signature-based and anomaly-based detection methods. An anomalous network behavior can be defined as an intentional violation of the expected sequence of packets. In a real-time network-based IDS, …
-
Logic-Targeted Data Poisoning and Cascading Failures in AI-Driven Distributed Traffic Control Systems
… single-point hardware failure. Standard anomaly detection methods were not effective because a zero-vehicle reading is physically plausible. The standard detector achieved an AUC close to 0.57, only slightly above random discrimination. This thesis proposes the False Vacuum Indicator …
-
An autonomous host-based intrusion detection and prevention system for Android mobile devices. Design and implementation of an autonomous host-based Intrusion Detection and Prevention System (IDPS), incorporating Machine Learning and statistical algorithms, for Android mobile devices
… and implementation of a host-based Intrusion Detection and Prevention System (IDPS) called HIDROID (Host-based Intrusion Detection and protection system for andROID) for Android smartphones. It runs completely on the mobile device, with a minimal computation burden. It collects data in …