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

90 citations · 134 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CR20191 cited

Anomaly-based Intrusion Detection in Industrial Data with SVM and Random Forests

Simon D. Duque Anton, Sapna Sinha, Hans Dieter Schotten

Attacks on industrial enterprises are increasing in number as well as in effect. Since the introduction of industrial control systems in the 1970's, industrial networks have been t…

cs.CR20192 cited

Putting Things in Context: Securing Industrial Authentication with Context Information

Simon Duque Anton, Daniel Fraunholz, Christoph Lipps +2

The development in the area of wireless communication, mobile and embedded computing leads to significant changes in the application of devices. Over the last years, embedded devic…

cs.CY20198 cited

Highly Scalable and Flexible Model for Effective Aggregation of Context-based Data in Generic IIoT Scenarios

Simon Duque Anton, Daniel Fraunholz, Janis Zemitis +2

Interconnectivity of production machines is a key feature of the Industrial Internet of Things (IIoT). This feature allows for many advantages in producing. Configuration and maint…

cs.CR201914 cited

Implementing SCADA Scenarios and Introducing Attacks to Obtain Training Data for Intrusion Detection Methods

Simon Duque Antón, Michael Gundall, Daniel Fraunholz +1

There are hardly any data sets publicly available that can be used to evaluate intrusion detection algorithms. The biggest threat for industrial applications arises from state-spon…

cs.CR201990 cited

Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set

Simon Duque Anton, Suneetha Kanoor, Daniel Fraunholz +1

In the context of the Industrial Internet of Things, communication technology, originally used in home and office environments, is introduced into industrial applications. Commerci…

cs.CR20199 cited

A Question of Context: Enhancing Intrusion Detection by Providing Context Information

Simon Duque Anton, Daniel Fraunholz, Stephan Teuber +1

Due to the fourth industrial revolution, and the resulting increase in interconnectivity, industrial networks are more and more opened to publicly available networks. Apart from th…