Sökning: "hidden markov models"

Visar resultat 1 - 5 av 89 uppsatser innehållade orden hidden markov models.

  1. 1. Intrusion Detection in IT Infrastructures using Hidden Markov Models

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

    Författare :Christopher Liu; Sabrina Al-Haddad; [2023]
    Nyckelord :;

    Sammanfattning : In the past decades, cloud based services have developed rapidly. And as a result, cybercrimehas increased in sophistication as well as frequency. It therefore becomes vital to have solidprotection against such attacks, especially for infrastructures containing sensitive information. LÄS MER

  3. 2. Predictive Modeling and Statistical Inference for CTA returns : A Hidden Markov Approach with Sparse Logistic Regression

    Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Oskar Fransson; [2023]
    Nyckelord :Probability theory; Statistical inference; finance; CTA; managed futures; machine learning; statistical learning; stochastic process; sparse logistic regression; Markov Chain Monte Carlo; Hidden Markov model;

    Sammanfattning : This thesis focuses on predicting trends in Commodity Trading Advisors (CTAs), also known as trend-following hedge funds. The paper applies a Hidden Markov Model (HMM) for classifying trends. Additionally, by incorporating additional features, a regularized logistic regression model is used to enhance prediction capability. LÄS MER

  4. 3. Hidden Markov Models for Intrusion Detection Under Background Activity

    Master-uppsats, KTH/Matematisk statistik

    Författare :Robert Siridol-Kjellberg; [2023]
    Nyckelord :Hidden Markov models; Cyber security; Intrusion detection; Clustering; Background subtraction; Dolda Markovmodeller; Cybersäkerhet; Dataintrång; Klustring; Bakgrundssubtraktion;

    Sammanfattning : Detecting a malicious hacker intruding on a network system can be difficult. This challenge is made even more complex by the network activity generated by normal users and by the fact that it is impossible to know the hacker’s exact actions. LÄS MER

  5. 4. Detecting IT System Intrusions Using Hidden Markov Models

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

    Författare :Agaton Domberg; Axel Tardell; [2023]
    Nyckelord :;

    Sammanfattning : In today's day and age, the use and implementation of cyber security software isof the utmost importance. Aiming to dive into the basic algorithms behind these softwareprograms, this paper highlights one of the different approaches that keep us safe online. LÄS MER

  7. 5. Voltage-Based Multi-step Prediction : Data Labeling, Software Evaluation, and Contrasting DRL with Traditional Prediction Methods

    Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Joakim Svensson; [2023]
    Nyckelord :Deep Reinforcement Learning; Multi-step Prediction; Time Series Forecasting; Djup Förstärkningsinlärning; Flerstegsprognos; Tidsserieprognos;

    Sammanfattning : In this project, three primary problems were addressed to improve battery data management and software performance evaluation. All solutions used voltage values in time together with various device characteristics. Battery replacement labeling was performed using Hidden Markov Models. LÄS MER