Prototype a Practical Anomaly-Based NIDS Using Deep Learning Techniques

Type of thesis: Bachelorarbeit / location: Dresden / Status of thesis: Open theses

Prototype a Practical Anomaly-Based NIDS Using Deep Learning Techniques

Counterpart

Martin Grimmer

Universität Leipzig

EXPLOIDS - Anomaly Detection on Graphs

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz