Adaptive Cyber Security: Machine Learning Techniques for a Flow-Based Anomaly Intrusion Detection System

Efferen, Lennart van

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Bachelor Informatica & Economie

The following thesis was written by a student in the 2016-2017 class of the Bachelor Informatica & Economie programme at Leiden University.

Thesis details

Title	Adaptive Cyber Security: Machine Learning Techniques for a Flow-Based Anomaly Intrusion Detection System
Student	Efferen, Lennart van
Programme	Bachelor Informatica & Economie
Year	2016-2017
Thesis	Open Thesis PDF

Citation details

Efferen, Lennart van, Adaptive Cyber Security: Machine Learning Techniques for a Flow-Based Anomaly Intrusion Detection System , Thesis Bachelor Informatica & Economie, LIACS, Leiden University, 2017.