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Visar resultat 1 - 5 av 72 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Log Frequency Analysis for Anomaly Detection in Cloud Environments

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Prathyusha Bendapudi; [2024]
    Nyckelord :Log Analysis; Log Frequency Patterns; anomaly detection; machine learning; cloud environments;

    Sammanfattning : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. LÄS MER

  3. 2. DISTRIBUTED ARTIFICIAL INTELLIGENCE FOR ANOMALY DETECTION IN A MODULAR MANUFACTURING ENVIRONMENT

    Magister-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Hana Hodzic; [2023]
    Nyckelord :;

    Sammanfattning : This thesis investigates anomaly detection and classification in a simulated modular manufacturingenvironment using Machine Learning algorithm Random Forest. This algorithm is tested on a localcomputer and an embedded device, specifically the Raspberry PI. LÄS MER

  4. 3. Anomaly Detection for Condition Monitoring in Robot Systems

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Mingjie Huang; [2023]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  5. 4. Anomaly Detection for Network Traffic in a Resource Constrained Environment

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Pontus Lidholm; Gaia Ingletto; [2023]
    Nyckelord :Network Traffic; Anomaly Detection; Embedded Systems; Machine Learning; Random Forest;

    Sammanfattning : Networks connected to the internet are under a constant threat of attacks. To protect against such threats, new techniques utilising already connected hardware have in this thesis been proven to be a viable solution. LÄS MER

  7. 5. Finding Causal Relationships Among Metrics In A Cloud-Native Environment

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Suresh Rishi Nandan; [2023]
    Nyckelord :Causality; Causal Discovery; Bayesian Network; Conditional Independence; Partial Correlation; Ensemble Causal Discovery; Anomaly Detection; Causal Graphs; Causality; Causal Discovery; Bayesian Network; Conditional Indeberoende; partiell korrelation; Ensemble Causal Discovery; Anomali Detektion; kausala grafer;

    Sammanfattning : Automatic Root Cause Analysis (RCA) systems aim to streamline the process of identifying the underlying cause of software failures in complex cloud-native environments. These systems employ graph-like structures to represent causal relationships between different components of a software application. LÄS MER