Ralf C. Staudemeyer

Orcid: 0000-0001-6581-2542

Affiliations:
  • University of Passau, Institute of IT-Security and Security Law (ISL), Germany


According to our database1, Ralf C. Staudemeyer authored at least 12 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2023
A Survey on Anonymous Communication Systems With a Focus on Dining Cryptographers Networks.
IEEE Access, 2023

2022
Erstellung einer kollaborativen Arbeitsumgebung für die pandemiebedingte Online-Lehre - ein Praxisbericht.
Inform. Spektrum, 2022

Android Data Storage Locations and What App Developers Do with It from a Security and Privacy Perspective.
Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022

2020
Extracting Speech from Motion-Sensitive Sensors.
Proceedings of the Data Privacy Management, Cryptocurrencies and Blockchain Technology, 2020

2019
What it takes to boost Internet of Things privacy beyond encryption with unobservable communication: a survey and lessons learned from the first implementation of DC-net.
J. Reliab. Intell. Environ., 2019

Understanding LSTM - a tutorial into Long Short-Term Memory Recurrent Neural Networks.
CoRR, 2019

2018
The Road to Privacy in IoT: Beyond Encryption and Signatures, Towards Unobservable Communication.
Proceedings of the 19th IEEE International Symposium on "A World of Wireless, 2018

2017
From Dining Cryptographers to dining things: Unobservable communication in the IoT.
Proceedings of the 22nd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2017

2016
Towards quantifying the cost of a secure IoT: Overhead and energy consumption of ECC signatures on an ARM-based device.
Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016

ECDSA on Things: IoT Integrity Protection in Practise.
Proceedings of the Information and Communications Security - 18th International Conference, 2016

2014
Extracting salient features for network intrusion detection using machine learning methods.
South Afr. Comput. J., 2014

2013
Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data.
Proceedings of the 2013 South African Institute for Computer Scientists and Information Technologists, 2013


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