Sökning: "Event Log"

Visar resultat 1 - 5 av 48 uppsatser innehållade orden Event Log.

  1. 1. Damage Assessment of the 2022 Tongatapu Tsunami : With Remote Sensing

    Kandidat-uppsats, KTH/Geoinformatik

    Författare :Milton Larsson; [2022]
    Nyckelord :remote sensing; land cover classification; Sentinel-1; Sentinel-2; change detection; change vector analysis;

    Sammanfattning : The Island of Tongatapu, Tonga, was struck by a tsunami on January 15, 2022. Internet was cut off from the island, which made remote sensing a valuable tool for the assessment of damages. Through land cover classification, change vector analysis and log-ratio image differencing, damages caused by the tsunami were assessed remotely in this thesis. LÄS MER

  2. 2. Anomaly detection techniques for unsupervised machine learning

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Albin Iivari; [2022]
    Nyckelord :Machine learning; unsupervised anomaly detection; anomaly detection in logfiles; isolation forest; cblof;

    Sammanfattning : Anomalies in data can be of great importance as they often indicate faulty behaviour. Locating these can thus assist in finding the source of the issue. Isolation Forest, an unsupervised machine learning model used to detect anomalies, is evaluated against two other commonly used models. The data set used were log files from a company named Trimma. LÄS MER

  3. 3. Feasibility to implement a SIEM based on Open-source applications

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

    Författare :Robin Björk; [2022]
    Nyckelord :IT-security; log management; open-source; SIEM; Correlation engine; IT-säkerhet; Loghantering; Öppen-källkod; SIEM; Korrelationsmotor;

    Sammanfattning : As more and more things digitize, the need of logging events and managing these logs increases. To be able to makes sense of these logs, a (Security Information and Event Management) SIEM tool is commonly used both to correlate the events and as a tool to analyze the logs. LÄS MER

  4. 4. Anomaly Detection in Log Files Using Machine Learning Techniques

    Magister-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Författare :Lakshmi Geethanjali Mandagondi; [2021]
    Nyckelord :Anomaly Detection; Log Files; Machine Learning; Clustering; Outlier Detection;

    Sammanfattning : Context: Log files are produced in most larger computer systems today which contain highly valuable information about the behavior of the system and thus they are consulted fairly often in order to analyze behavioral aspects of the system. Because of the very high number of log entries produced in some systems, it is however extremely difficult to seek out relevant information in these files. LÄS MER

  5. 5. Predictive Maintenance of Construction Equipment using Log Data : A Data- centric Approach

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

    Författare :Bazil Muzaffar Kotriwala; [2021]
    Nyckelord :Predictive Maintenance; Construction Equipment; Event Log; Sensor Log; Machine Learning; Imbalanced Data; Prediktivt underhåll; byggutrustning; händelselogg; sensorlogg; maskininlärning; obalanserade data;

    Sammanfattning : Construction equipment manufacturers want to reduce the downtime of their equipment by moving from the typical reactive maintenance to a predictive maintenance approach. They would like to define a method to predict the failure of the construction equipment ahead of time by leveraging the real- world data that is being logged by their vehicles. LÄS MER