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Visar resultat 1 - 5 av 46 uppsatser som matchar ovanstående sökkriterier.
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)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
2. Detecting Images Outside Training Distribution for Fingerprint Spoof Detection
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Artificial neural networks are known to run into issues when given samples that deviate from the training distribution, where the network may confidently provide an incorrect answer. Out-of-distribution detection methods aims to provide a solution to this issue, by detecting data that deviates from the distribution used to train the model. LÄS MER
3. Phone Free Study : Encouraging students to put away their phones
Uppsats för yrkesexamina på grundnivå, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleSammanfattning : Many of us have grown up or have been acquainted with individuals who have grown up with smartphones in educational settings. We are well aware of how disruptive they can be, and I myself am not an exception. LÄS MER
4. Anställdas inställning till biometrisk autentisering : En studie på svenska små- och medelstora företag
Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatikSammanfattning : Denna studie undersöker anställdas inställning till BA som MFA-metod på svenska SMF, även vilken BA-metod som anses lämpligast för användning. Tidigare studier har främst fokuserat på större organisationer och företag med kvantitativa forskningsmetoder. LÄS MER
5. Polar Codes for Biometric Identification Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Biometrics are widely used in identification systems, such as face, fingerprint, iris, etc. Polar code is the only code that can be strictly proved to achieve channel capacity, and it has been proved to be optimal for channel and source coding. LÄS MER