Table of Contents
Markus Goldstein
About
Markus Goldstein is a Researcher at the Multimedia Analysis and Data Mining (MADM) research group at the DFKI and the
University of Kaiserslautern. His research topics are in the areas of pattern
recognition, network intrusion detection/prevention, network traffic analysis, anomaly detection
and user modeling. He holds a Master in Computer Science from the
University of Ulm, Germany
and a Diploma in Computer Science in Media of the
University of Furtwangen, Germany.
Currently, he is working on various network security and anomaly detection projects.
Contact Information
Markus Goldstein
DFKI GmbH
Trippstaedter Str. 122
67663 Kaiserslautern
Germany
Telephone: ++49 (631) 20575-4250
Fax: ++49 (631) 20575-4020
E-mail: markus.goldstein
Curriculum Vitae
Please follow this external link: Curriculum Vitae
Publications
Enhancing Security Event Management Systems with Unsupervised Anomaly Detection
Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods,
FastLOF: An Expectation-Maximization based Local Outlier Detection Algorithm
Proceedings of the 21st International Conference on Pattern Recognition,
Histogram-based Outlier Score (HBOS): A fast Unsupervised Anomaly Detection Algorithm
In:
Nearest-Neighbor and Clustering based Anomaly Detection Algorithms for RapidMiner
In:
Automatic classifier selection for non-experts
Pattern Analysis and Applications volume July 2012,
Landmarking for Meta-Learning using RapidMiner
RapidMiner Community Meeting and Conference, Dortmund, Germany, Online, 9/2010
Server-side Prediction of Source IP Addresses using Density Estimation
Availability, Reliability and Security, 2009. ARES 09. Fourth International Conference on,
High Performance Traffic Shaping for DDoS Mitigation
Proceedings of the 2008 ACM CoNEXT conference, Madrid, Spain, ACM, SIGCOMM, 12/2008
Anomaly Detection by Combining Decision Trees and Parametric Densities
Pattern Recognition, 2008. ICPR 2008., Tampa, FL, USA, IEEE, 12/2008
Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering
Seventh International Conference on Networking,
Conference Committee Member
- The Fifth International Conferences on Pervasive Patterns and Applications PATTERNS 2013 (Research Chair)
- The Twelfth International Conference on Networks ICN 2013
- The Fourth International Conferences on Pervasive Patterns and Applications PATTERNS 2012 (Advisory Chair)
- The Eleventh International Conference on Networks ICN 2012
- The Third International Conferences on Pervasive Patterns and Applications PATTERNS 2011 (Advisory Chair)
- The Tenth International Conference on Networks ICN 2011
- The Second International Conferences on Pervasive Patterns and Applications PATTERNS 2010 (Advisory Chair)
- The Nineth International Conference on Networks ICN 2010
- The Eighth International Conference on Networks ICN 2009
Journal Editorial Board
- Member of Editoral Board of International Journal On Advances in Networks and Services since 2012
Teaching
- 2013: Master Thesis supervisor: Enhanced Support Vector Machines for Unsupervised Anomaly Detection
- 2012: Guest Lecture in Advanced Machine Learning: “Anomaly Detection”. University of Kaiserslautern.
- 2012: Bachelor Thesis supervisor: Document Authentication using Printing Technique Features
- 2012: Master Thesis supervisor: Anomaly Detection
- 2012: Seminar Certified Fraud Analyst: “Data Analysis”. Frankfurt School of Finance and Management.
- 2011: Bachelor Thesis supervisor: Comparison of Unsupervised Anomaly Detection Techniques
- 2010: Lab course (Seminar) supervisor: “Artificial Intelligence”, Bachelor's level
- 2009: Lab course (Seminar) supervisor: “Pattern Recognition”, Master's level
- 2008: Guest Lecture in Pattern Recognition and Statistical Learning: “Machine Learning Systems”. University of Kaiserslautern.
- 2008: Lecture Tutorials: “Pattern Recognition and Statistical Learning”, Master's level
- 2008: Lab course (Seminar) supervisor: “Introduction to Pattern Recognition”, Bachelor's level
- 2008: Project Thesis supervisor: "Classification of HTTP Requests using Time Series Analysis"
- 2007: Guest Lecture in Human Computer Interaction: “DDoS Mitigation”. University of Kaiserslautern.
- 2007: Lab course (Seminar) supervisor: “Introduction to Pattern Recognition”, Bachelor's level
- 2006: Lab course (Seminar) supervisor: “Pattern Recognition”, Master's level
Reviews
- International Journal On Advances in Networks and Services 2013
- ICDAR 2013
- International Journal On Advances in Networks and Services 2012
- ICN 2013
- DAGM 2012
- ICPR 2012
- PATTERNS 2012
- ICN 2012
- PATTERNS 2011
- ICN 2011
- ICAART 2011
- ICN 2010
- Journal: Pattern Recognition Letters
- ICN 2009
- KI 2008
- ECCV 2008
- CVPR 2008
- VISAPP 2008
- ICCV 2007
- CVPR 2007
- MVA 2007
Patents
Method and system for mitigation of distributed denial of service attacks based on IP neighbourhood density estimation (PDF)
Number: EP2109282, Holder: Deutsche Telekom AG, Status: granted patent
Method and system for throttling or blocking geographical areas for mitigation of distributed denial of service attacks using a graphical user interface (PDF)
Number: EP2109280, Holder: Deutsche Telekom AG, Status: granted patent
Method and system for mitigation of distributed denial of service attacks using geographical source and time information
(PDF)
Number: EP2109279, Holder: Deutsche Telekom AG, Status: granted patent
Medical system architecture for interactive transfer and progressive representation of compressed image data (PDF)
Numbers: US7602950, DE10309165, JP2004261597, CN100380384, Holder: Siemens AG, Status: granted patent
