Patrik GoldschmidtKempelen Institute of Intelligent Technologies · Information Security
Patrik Goldschmidt
Master of Science
Anomaly and network intrusion detection using machine learning.
About
1
Publication
32
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4
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Introduction
Additional affiliations
September 2021 - present
Kempelen Institute of Intelligent Technologies
Position
- Research Assistant
Description
- Network anomaly and intrusion detection using machine learning techniques.
October 2019 - May 2021
Education
September 2021 - June 2025
September 2019 - August 2021
September 2016 - June 2019
Publications
Publication (1)
TCP SYN Flood is one of the most widespread DoS attack types performed on computer networks nowadays. As a possible countermeasure, we implemented and deployed modified versions of three network-based mitigation techniques for TCP SYN authentication. All of them utilize the TCP three-way handshake mechanism to establish a security association with...
