Malware Detection with Subspace Learning-based One-Class Classification
Detecting malware is crucial for ensuring the security of computer systems. Traditional
machine learning models face challenges in effectively detecting malware, mainly due to the …
machine learning models face challenges in effectively detecting malware, mainly due to the …
[PDF][PDF] Supporting CAN Bus Anomaly Detection with Correlation Data.
Communication on the Controller Area Network (CAN) in vehicles is notably lacking in
security measures, rendering it susceptible to remote attacks. These cyberattacks can …
security measures, rendering it susceptible to remote attacks. These cyberattacks can …
[PDF][PDF] Credit Card Fraud Detection using One-Class Classification Algorithms
Z Zaffar - 2023 - trepo.tuni.fi
Master's thesis Tampere University Master's Degree Program in Statistical Data Analytics
September 2023 Similar to most things in everyday life, the advent of payment cards also …
September 2023 Similar to most things in everyday life, the advent of payment cards also …