Simon Duque Anton | DeepAI

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∙ 04/08/2021

Secure (S)Hell: Introducing an SSH Deception Proxy Framework

Deceiving an attacker in the network security domain is a well establish...

0 Daniel Reti, et al. ∙

∙ 05/29/2019

Putting Things in Context: Securing Industrial Authentication with Context Information

The development in the area of wireless communication, mobile and embedd...

0 Simon Duque Anton, et al. ∙

∙ 05/28/2019

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

In the context of the Industrial Internet of Things, communication techn...

0 Simon Duque Anton, et al. ∙

∙ 05/28/2019

The Dos and Don'ts of Industrial Network Simulation: A Field Report

Advances in industrial control lead to increasing incorporation of inter...

0 Simon Duque Anton, et al. ∙

∙ 05/28/2019

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

Interconnectivity of production machines is a key feature of the Industr...

0 Simon Duque Anton, et al. ∙

∙ 05/28/2019

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

Due to the fourth industrial revolution, and the resulting increase in i...

0 Simon Duque Anton, et al. ∙

∙ 05/28/2019

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

There are hardly any data sets publicly available that can be used to ev...

0 Simon Duque Anton, et al. ∙

∙ 05/21/2019

Two Decades of SCADA Exploitation: A Brief History

Since the early 1960, industrial process control has been applied by ele...

0 Simon Duque Anton, et al. ∙

∙ 09/20/2018

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

The Industrial Internet of Things drastically increases connectivity of ...

0 Simon Duque Anton, et al. ∙

∙ 04/17/2018

Demystifying Deception Technology:A Survey

Deception boosts security for systems and components by denial, deceit, ...

0 Daniel Fraunholz, et al. ∙

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