Markus Goldstein

About

Markus Goldstein Markus Goldstein was a researcher at the Multimedia Analysis and Data Mining (MADM) research group at the DFKI and a Ph.D. student of the University of Kaiserslautern. His research topics were in the areas of machine learning, pattern recognition, anomaly detection, network intrusion detection/prevention, and misuse detection.



For current contact information, please go to his private website.


His past projects included network security and anomaly detection.


Publications at DFKI

Anomaly Detection in Large Datasets
Markus Goldstein
Pages 248,
PhD-Thesis, Dr. Hut, Technische Universität Kaiserslautern, München, 2/2014


Anomaly Detection
Markus Goldstein
RapidMiner: Data Mining Use Cases and Business Analytics Applications, Data Mining and Knowledge Discovery, Pages 367-394, Chapman and Hall/CRC, 10/2013

Enhancing One-class Support Vector Machines for Unsupervised Anomaly Detection
Mennatallah Amer, Markus Goldstein, Slim Abdennadher
Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description (ODD), Pages 8-15, Chicago, IL, USA, ACM, New York, NY, USA, 8/2013

Document Authentication using Printing Technique Features and Unsupervised Anomaly Detection
Johann Gebhardt, Markus Goldstein, Faisal Shafait, Andreas Dengel
Proceedings of the 12th International Conference on Document Analysis and Recognition, Pages 479-483, Washington, DC, USA, IEEE Computer Society, 8/2013

Enhancing Security Event Management Systems with Unsupervised Anomaly Detection
Markus Goldstein, Stefan Asanger, Matthias Reif, Andrew Hutchinson
Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods, Pages 530-538, Barcelona, Spain, SciTePress, INSTICC, 2/2013

FastLOF: An Expectation-Maximization based Local Outlier Detection Algorithm
Markus Goldstein
Proceedings of the 21st International Conference on Pattern Recognition, Pages 2282-2285, Tsukuba, Japan, IEEE, 11/2012

Histogram-based Outlier Score (HBOS): A fast Unsupervised Anomaly Detection Algorithm
Markus Goldstein, Andreas Dengel
In: Stefan Wölfl (ed.) KI-2012: Poster and Demo Track, Pages 59-63, Saarbrücken, Germany, Online, 9/2012

Nearest-Neighbor and Clustering based Anomaly Detection Algorithms for RapidMiner
Mennatallah Amer, Markus Goldstein
In: Simon Fischer, Ingo Mierswa (eds.) Proceedings of the 3rd RapidMiner Community Meeting and Conferernce (RCOMM 2012), Pages 1-12, Budapest, Hungary, Shaker Verlag GmbH, Aachen, 8/2012

Automatic classifier selection for non-experts
Matthias Reif, Faisal Shafait, Markus Goldstein, Thomas Breuel, Andreas Dengel
Pattern Analysis and Applications volume July 2012, Pages 1-14, Springer-Verlag, 7/2012

Landmarking for Meta-Learning using RapidMiner
Sarah Daniel Abdelmessih, Faisal Shafait, Matthias Reif, Markus Goldstein
RapidMiner Community Meeting and Conference, Dortmund, Germany, Online, 9/2010

Server-side Prediction of Source IP Addresses using Density Estimation
Markus Goldstein, Matthias Reif, Armin Stahl, Thomas Breuel
Availability, Reliability and Security, 2009. ARES 09. Fourth International Conference on, Pages 82-89, Fukuoka, Japan, IEEE Computer Society Press, 3/2009

High Performance Traffic Shaping for DDoS Mitigation
Markus Goldstein, Matthias Reif, Armin Stahl, Thomas Breuel
Proceedings of the 2008 ACM CoNEXT conference, Madrid, Spain, ACM, SIGCOMM, 12/2008

Anomaly Detection by Combining Decision Trees and Parametric Densities
Matthias Reif, Markus Goldstein, Armin Stahl, Thomas Breuel
Pattern Recognition, 2008. ICPR 2008., Tampa, FL, USA, IEEE, 12/2008

Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering
Markus Goldstein, Christoph Lampert, Matthias Reif, Armin Stahl, Thomas Breuel
Seventh International Conference on Networking, Pages 174-179, Cancun, Mexico, IEEE Computer Society, 4/2008


Conference Committee Member

  • The Sixth International Conferences on Pervasive Patterns and Applications PATTERNS 2014 (Research Chair)
  • The Thirteenth International Conference on Networks ICN 2014
  • 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


Teaching

  • 2013: Lab course (Seminar) supervisor: “Artificial Intelligence”, Bachelor's level
  • 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: Master Thesis supervisor: Anomaly Detection
  • 2012: Seminar Certified Fraud Analyst: “Data Analysis”. Frankfurt School of Finance and Management.
  • 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
  • 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

  • IEEE Transactions on Information Forensics & Security 2013
  • ICN 2014
  • ICAART 2014
  • ACPR 2013
  • PATTERNS 2013
  • International Journal On Advances in Networks and Services 2013
  • ICDAR 2013
  • ICN 2013
  • International Journal On Advances in Networks and Services 2012
  • 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

     
Last modified: 05.05.2014