Sökning: "Behavioral Biometrics"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Behavioral Biometrics.

  1. 1. User authentication through behavioral biometrics using multi-class classification algorithms : A comprehensive study of machine learning algorithms for keystroke and mouse dynamics

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

    Författare :Emil Lantz; [2023]
    Nyckelord :Behavioral biometrics; keystroke dynamics; mouse dynamics; machine learning; neural networks; decision trees.; Beteendemässig biometri; maskininlärning; neurala nätverk; beslutsträd.;

    Sammanfattning : User authentication is vital in a secure system. Authentication is achieved through something a genuine user knows, has, or is. The latter is called biometrics, commonly attributed with fingerprint and face modalities. It is also possible to identify a user based on their behavior, called behavioral biometrics. LÄS MER

  3. 2. Evasion Attacks Against Behavioral Biometric Continuous Authentication Using a Generative Adversarial Network

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

    Författare :Herman Blenneros; Erik Sävenäs; [2021]
    Nyckelord :Continuous Authentication; Generative Adversarial Network; evasion; biometrics;

    Sammanfattning : The aim of the project was to examine the feasibilityof evading continuous authentication systems with a generativeadversarial network. To this end, a group of supervised andunsupervised state-of-the-art classifiers were trained on a publiclyavailable dataset of stroke patterns on mobile devices. LÄS MER

  4. 3. Keystroke dynamics for student authentication in online examinations

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Rebecka Mattsson; [2020]
    Nyckelord :;

    Sammanfattning : Biometrics are distinctive for each person, and can not be given away or hacked like a password. Keystroke dynamics is a behavioral biometric characteristic that can be used as a complementary authentication step [1]. In online examinations it is difficult to make sure that each student write their own work. LÄS MER

  5. 4. Authentication Using Deep Learning on User Generated Mouse Movement Images

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Olof Enström; [2019]
    Nyckelord :Machine Learning; Authentication; Behavioral Biometrics; Deep Learning; Convolutional Neural Networks;

    Sammanfattning : Continuous authentication using behavioral biometrics can provide an additional layer of protection against online account hijacking and fraud. Mouse dynamics classification is the concept of determining the authenticity of a user through the use of machine learning algorithms on mouse movement data. LÄS MER

  7. 5. Improving the Security of the Android Pattern Lock using Biometrics and Machine Learning

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematik

    Författare :Jacob Nilsson; [2017]
    Nyckelord :Android Pattern Lock; Dynamic Time Warping; Anomaly Detection; Time Series; Behavioral Biometrics;

    Sammanfattning : With the increased use of Android smartphones, the Android Pattern Lock graphical password has become commonplace. The Android Pattern Lock is advantageous in that it is easier to remember and is more complex than a five digit numeric code. However, it is susceptible to a number of attacks, both direct and indirect. LÄS MER