Essays about: "anomaly detection"
Showing result 11 - 15 of 332 essays containing the words anomaly detection.
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11. Comparing machine learning algorithms for detecting behavioural anomalies
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Attempted intrusions at companies, either from an insider threat orotherwise, is increasing in frequency. Most commonly used is static analysis and filters to stop specific attacks. READ MORE
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12. Anomaly Detection for Condition Monitoring in Robot Systems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This thesis addresses the detection of wear patterns in robot joints as an indication of the increase in wear level or impending failures. The main challenges include identifying key wear features, developing efficient anomaly detection algorithms, ensuring generalization across different joints and operating conditions, and enabling real-time monitoring. READ MORE
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13. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : As cloud services become increasingly popular, ensuring their privacy and security has become a significant concern for users. Cloud computing involves Data Service Outsourcing and Computation Outsourcing, which require additional security considerations compared to traditional computing. READ MORE
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14. Unsupervised Online Anomaly Detection in Multivariate Time-Series
University essay from Uppsala universitet/DatorteknikAbstract : This research aims to identify a method for unsupervised online anomaly detection in multivariate time series in dynamic systems in general and on the case study of Devwards IoT-system in particular. A requirement of the solution is its explainability, online learning and low computational expense. READ MORE
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15. Knowledge distillation for anomaly detection
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The implementation of systems and methodologies for time series anomaly detection holds the potential of providing timely detection of faults and issues in a wide variety of technical systems. Ideally, these systems are able to identify deviations from the normal behavior of systems even before any problems manifest, thus enabling proactive maintenance. READ MORE
