Prototype a Practical Anomaly-Based NIDS Using Deep Learning Techniques

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

Prototype a Practical Anomaly-Based NIDS Using Deep Learning Techniques

Counterpart

Martin Grimmer

Universität Leipzig

IT Security using ML, Host based Intrusion Detection Systems (HIDS), Leipzig Intrusion Detection - Data Set (LID-DS)

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz