| Using multiple data sources to detect manipulated electricity meter by an entropy-inspired metric D Hock, M Kappes, B Ghita Sustainable Energy, Grids and Networks 21, 100290, 2020 | 30 | 2020 |
| Defense strategies against byzantine attacks in a consensus-based network intrusion detection system M Toulouse, H Le, CV Phung, D Hock Informatica 41 (2), 2017 | 10 | 2017 |
| Non-intrusive appliance load monitoring using genetic algorithms D Hock, M Kappes, B Ghita IOP Conference Series: Materials Science and Engineering 366 (1), 012003, 2018 | 9 | 2018 |
| A Self-Learning Network Anomaly Detection System using Majority Voting D Hock, M Kappes 10th International Network Conference 2014 (INC2014), 2014 | 8 | 2014 |
| On the Performance of Anomaly Detection Systems Uncovering Traffic Mimicking Covert Channels J Bouché, D Hock, M Kappes International Network Conference (INC 2016), Frankfurt am Main, 2016 | 7 | 2016 |
| Entropy-based metrics for occupancy detection using energy demand D Hock, M Kappes, B Ghita Entropy 22 (7), 731, 2020 | 4 | 2020 |
| Robust Consensus-Based Network Intrusion Detection in Presence of Byzantine Attacks M Toulouse, H Le, CV Phung, D Hock Seventh International Symposium on Information and Communication Technology …, 2016 | 3 | 2016 |
| Using R for Anomaly Detection in Network Traffic D Hock, M Kappes Fifth International Conference on Internet Technologies & Applications, 2013 | 3 | 2013 |
| Using the Entropy for Typical Load Curve Classification D Hock, M Kappes 2018 International Conference on Smart Grid and Clean Energy Technologies …, 2018 | 1 | 2018 |
| A Pre-Clustering Method To Improve Anomaly Detection D Hock, M Kappes, B Ghita SECRYPT 2016, At Lisabon, 2016 | 1 | 2016 |
| JAD: a generic framework for network anomaly detection using Java D Hock, M Grob, M Kappes Gesellschaft für Informatik eV, 2013 | 1 | 2013 |
| Entropy-Based Metrics for Occupancy Detection Using Energy Demand B Ghita, D Hock, M Kappes | | 2020 |
| Detecting Energy Theft and Anomalous Power Usage in Smart Meter Data D Hock University of Plymouth, 2020 | | 2020 |
| Master Thesis: Design and Evaluation of Metrics-based Methods for Network Anomaly Detection D Hock Frankfurt University of Applied Sciences, 2013 | | 2013 |
