Sökning: "fraudulent"

Visar resultat 1 - 5 av 97 uppsatser innehållade ordet fraudulent.

1. 1. Detecting Fraudulent User Behaviour : A Study of User Behaviour and Machine Learning in Fraud Detection

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Analys och partiella differentialekvationer

   Författare :Patrik Gerdelius; Sjönneby Hugo; [2024]
   Nyckelord :Fraud Detection; User Behaviour; Random Forest; PCA; SMOTE;

   Sammanfattning : This study aims to create a Machine Learning model and investigate its performance of detecting fraudulent user behaviour on an e-commerce platform. The user data was analysed to identify and extract critical features distinguishing regular users from fraudulent users. LÄS MER

3. 2. Credit Card Fraud Detection by Nearest Neighbor Algorithms

   Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Ramin Maghsood; [2023-04-13]
   Nyckelord :Fraud; Bank Fraud; Credit Card Fraud; Fraud Detection; Nearest Neighbor Algorithms;

   Sammanfattning : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. LÄS MER

4. 3. Media Framing of the Legitimacy of Nigerian Elections in Relation to Stomach Infrastructure

   Kandidat-uppsats, Högskolan Väst/Institutionen för ekonomi och it

   Författare :Stanley Aghator; Sarah Kontim Moussa; [2023]
   Nyckelord :Nigeria elections; Vote-buying; Media framing; Election legitimacy;

   Sammanfattning : The thesis aims to explore the media framing of Nigeria’s 2023 election in relation to votebuying: How did the Nigerian print media portray the legitimacy of the 2023 election in relation to vote-buying? In addressing the research question, Entman’s (1993) framing theory is used. For identifying the themes and patterns around the framing of the election Entman’s four questions, defining the problems, diagnosing causes, making moral judgments, and treatment recommendations, in connection with the existing literature on vote buying are employed. LÄS MER

5. 4. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Nazar Maksymchuk Netterström; [2023]
   Nyckelord :Recurrent Neural Network; Long-Short-Term-Memory; Topological Data Analysis; Session based data; Anomaly detection; Time-series analysis; Imbalanced data; Master thesis; Neurala nätverk; Topologisk data analys; Detektion av avvikelse; Sessionsbaserad data; Tidserieanalys; Inbalancerad data; Masteruppsats;

   Sammanfattning : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. LÄS MER

7. 5. Big Data Analytics Using Apache Flink for Cybercrime Forensics on X (formerly known as Twitter)

   Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Manjunath Kakkepalya Puttaswamy; [2023]
   Nyckelord :Apache Flink; Apache Spark; Big Data; Twitter; X;

   Sammanfattning : The exponential growth of social media usage has led to massive data sharing, posing challenges for traditional systems in managing and analyzing such vast amounts of data. This surge in data exchange has also resulted in an increase in cyber threats from individuals and criminal groups. LÄS MER