Sökning: "Anomalidetektering"

Hittade 4 uppsatser innehållade ordet Anomalidetektering.

  1. 1. Information-Theoretic Framework for Network Anomaly Detection: Enabling online application of statistical learning models to high-speed traffic

    Master-uppsats, KTH/Matematisk statistik

    Författare :Gabriel Damour; [2019]
    Nyckelord :Network Security; Distributed Denial of Service; DDoS; DoS; Anomaly Detection; Intrusion Detection; Attack Source Identification; Information Theory; Statistical Learnin; Nätverkssäkerhet; Distribuerad Överbelastningsattack; DDoS; DoS; Anomalidetektering; Intrångsdetektering; Identifiering av Attackkällor; Informationsteori; Maskininlärning;

    Sammanfattning : With the current proliferation of cyber attacks, safeguarding internet facing assets from network intrusions, is becoming a vital task in our increasingly digitalised economies. Although recent successes of machine learning (ML) models bode the dawn of a new generation of intrusion detection systems (IDS); current solutions struggle to implement these in an efficient manner, leaving many IDSs to rely on rule-based techniques. LÄS MER

  2. 2. Anomaly Detection for Portfolio Risk Management : An evaluation of econometric and machine learning based approaches to detecting anomalous behaviour in portfolio risk measures

    Master-uppsats, KTH/Nationalekonomi

    Författare :Simon Westerlind; [2018]
    Nyckelord :Anomaly detection; Outlier Detection; Portfolio management; Risk management; Value-at-Risk; HTM; EWMA; ARIMA; LSTM; GARCH; Anomalidetektering; Avvikelsedetektering; Portföljhantering; Riskhantering; Valueat-Risk; HTM; EWMA; ARIMA; LSTM; GARCH;

    Sammanfattning : Financial institutions manage numerous portfolios whose risk must be managed continuously, and the large amounts of data that has to be processed renders this a considerable effort. As such, a system that autonomously detects anomalies in the risk measures of financial portfolios, would be of great value. LÄS MER

  3. 3. Anomaly Detection in Time Series Data Based on Holt-Winters Method

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

    Författare :Adam Aboode; [2018]
    Nyckelord :data quality; anomaly detection; time series data; Holt-Winters method;

    Sammanfattning : In today's world the amount of collected data increases every day, this is a trend which is likely to continue. At the same time the potential value of the data does also increase due to the constant development and improvement of hardware and software. LÄS MER

  4. 4. Anomaly Detection in Diagnostics Data with Natural Fluctuations

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Jesper Sundberg; [2015]
    Nyckelord :Machine learning; anomaly detection; fault detection; Linear Predictive Coding; Sparse Linear Prediction; Wavelet Transformation; Maskinlärning; anomalidetektering; feldetektering; Linear Predictive Coding; Sparse Linear Prediction; Wavelet-transformation;

    Sammanfattning : In this thesis, the red hot topic anomaly detection is studied, which is a subtopic in machine learning. The company, Procera Networks, supports several broadband companies with IT-solutions and would like to detected errors in these systems automatically. LÄS MER