Sökning: "Hidden Markov"

Visar resultat 1 - 5 av 126 uppsatser innehållade orden Hidden Markov.

  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. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Shuai Shao; [2023]
    Nyckelord :EEG; electroencephalography; IED; interictal epileptiform discharges; spike detection; epilepsy; unsupervised; Fourier transform; STFT; short-time Fourier transform; CWT; continuous wavelet transform; DWT; discrete wavelet transform; ML; machine learning; ANN; artificial neural network; CNN; convolutional neural network; autoencoder; HMM; hidden Markov model; ECS; Euclidean distance of cumulative spectrum;

    Sammanfattning : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. LÄS MER

  7. 5. 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