activity
20182026
most citedEvaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set

90 citations · 181 across the 15 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

cs.LG2018

Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data

Simon Duque Anton, Lia Ahrens, Daniel Fraunholz +1

The Industrial Internet of Things drastically increases connectivity of devices in industrial applications. In addition to the benefits in efficiency, scalability and ease of use,…

cs.CR2018

Demystifying Deception Technology:A Survey

Daniel Fraunholz, Simon Duque Anton, Christoph Lipps +5

Deception boosts security for systems and components by denial, deceit, misinformation, camouflage and obfuscation. In this work an extensive overview of the deception technology e…