Denis Hock
Denis Hock
Postdoc, Frankfurt University of Applied Sciences
Verified email at - Homepage
Cited by
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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
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
A Self-Learning Network Anomaly Detection System using Majority Voting
D Hock, M Kappes
10th International Network Conference 2014 (INC2014), 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
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
Entropy-Based Metrics for Occupancy Detection Using Energy Demand
D Hock, M Kappes, B Ghita
Entropy 22 (7), 731, 2020
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
Using R for Anomaly Detection in Network Traffic
D Hock, M Kappes
Fifth International Conference on Internet Technologies & Applications, 2013
JAD: a generic framework for network anomaly detection using Java
D Hock, M Grob, M Kappes
INFORMATIK 2013–Informatik angepasst an Mensch, Organisation und Umwelt, 2013
Entropy-Based Metrics for Occupancy Detection Using Energy Demand
B Ghita, D Hock, M Kappes
Detecting Energy Theft and Anomalous Power Usage in Smart Meter Data
D Hock
University of Plymouth, 2020
Using the Entropy for Typical Load Curve Classification
D Hock, M Kappes
2018 International Conference on Smart Grid and Clean Energy Technologies …, 2018
A Pre-Clustering Method To Improve Anomaly Detection
D Hock, M Kappes, B Ghita
SECRYPT 2016, At Lisabon, 2016
Master Thesis: Design and Evaluation of Metrics-based Methods for Network Anomaly Detection
D Hock
Frankfurt University of Applied Sciences, 2013
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