PhD Researcher
Jennifer Gabriel has more than 10 years of professional experience in the field of IT security. She mainly worked as an IT and Information Security Consultant. In 2020 she completed her B.Sc. degree in computer science with specialization in IT security at the Friedrich-Alexander-University Erlangen-Nürnberg, Germany. Shortly after, she joined ComNets. Her current research focus is wireless network security, especially in 5G and Wi-Fi networks.
Phone: +49 351 463-40777 Email: jennifer.gabriel@tu-dresden.de
Wireless Communication Security
SS21
SS 20
Diploma Thesis
Student Thesis
Oberseminar
Senk, Stefan; Itting, Sebastian A. W.; Gabriel, Jennifer; Lehmann, Christopher; Höschele, Thomas; Fitzek, Frank H. P.; Reisslein, Martin
5G NSA and SA Campus Network Testbeds for Evaluating Industrial Automation Inproceedings
In: European Wireless 2021, 2021.
BibTeX
@inproceedings{Senk21:CampusTestbed, title = {5G NSA and SA Campus Network Testbeds for Evaluating Industrial Automation}, author = {Stefan {Senk} and Sebastian A. W. {Itting} and Jennifer {Gabriel} and Christopher {Lehmann} and Thomas {H\"{o}schele} and Frank H. P. {Fitzek} and Martin {Reisslein}}, year = {2021}, date = {2021-11-10}, booktitle = {European Wireless 2021}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Close
Acevedo, Javier; Ulbricht, Marian; Gabriel, Jennifer; Fitzek, Frank H. P.
Hardware Accelerated Cryptography for Tactile Internet Inproceedings
In: European Wireless 2021 (EW 2021), Verona, Italy, 2021.
Abstract | BibTeX
@inproceedings{Acev2111:Hardware, title = {Hardware Accelerated Cryptography for Tactile Internet}, author = {Javier {Acevedo} and Marian {Ulbricht} and Jennifer {Gabriel} and Frank H. P. {Fitzek}}, year = {2021}, date = {2021-01-01}, booktitle = {European Wireless 2021 (EW 2021)}, address = {Verona, Italy}, abstract = {Tactile Internet (TI) applications such as industry automa-tion, connected autonomous cars, augmented reality and remotesurgery, are based on secure data transmissions at a very lowend-to-end latency. In order to fulfill those requirements in real applications, it is necessary to implement traffic encryption on the physical layer rather than the application layer. Nevertheless, the aforementioned integration is a computing intensive task, in which many arithmetic operations are involved. Therefore, hardware acceleration may be a solution to provide enough throughput, while maintaining low power consumption. In this paper we present the implementation of hardware acceleratorsfor cryptographic algorithms on heterogeneous multi-core dedicated hardware, using the state-of-the-art WolfSSL software embedded library. By comparing our implementation to software-only solutions in terms of throughput and delay using variabledata sets, we find performance improvements up to three orders of magnitude as well as around 80% latency reductions in the computing time.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }