Results 271 to 280 of about 352,249 (316)

Anomaly Detection

Computer Fraud and Security, 2019
Due to the significance it holds in the concept of fraud, security in computers and business, anomaly detection serves very much purpose. Using techniques in unsupervised machine learning, the two algorithms applied in this study are Isolation Forest and Autoencoder in credit card fraud detection in financial datasets.
Gopinath Rebala   +2 more
openaire   +2 more sources

Program Anomaly Detection

Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016
This tutorial will present an overview of program anomaly detection, which analyzes normal program behaviors and discovers aberrant executions caused by attacks, misconfigurations, program bugs, and unusual usage patterns. It was first introduced as an analogy between intrusion detection for programs and the immune mechanism in biology. Advanced models
Xiaokui Shu, Danfeng Yao
openaire   +1 more source

Anomaly detection

2022
Patrick Schneider, Fatos Xhafa
openaire   +2 more sources

Anomaly Detection

2023
Juan J. Cuadrado-Gallego, Yuri Demchenko
openaire   +1 more source

Anomaly Detection

Eduardo Ogasawara   +3 more
  +6 more sources

Home - About - Disclaimer - Privacy