Thomas Prantl

Thomas Prantl, M.Sc.

Chair of Software Engineering (Informatik II)
Department of Computer Science University of Würzburg
Am Hubland, 97074 Würzburg
Informatikgebäude, 1.OG, Room A118
Email: thomas.prantl@uni-wuerzburg.de

Research Interests

Security
Blockchain
IoT
Security and Blockchain Benchmarking

Selected Publications:

Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis. Stenger, Michael; Bauer, Andr{é}; Prantl, Thomas; Leppich, Robert; Hudson, Nathaniel; Chard, Kyle; Foster, Ian; Kounev, Samuel; in J. Data and Information Quality (2024). 16(2)
- [ Abstract ]
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- [ EndNote ]
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Time series data are widely used and provide a wealth of information for countless applications. However, some applications are faced with a limited amount of data, or the data cannot be used due to confidentiality concerns. To overcome these obstacles, time series can be generated synthetically. For example, electrocardiograms can be synthesized to make them available for building models to predict conditions such as cardiac arrhythmia without leaking patient information. Although many different approaches to time series synthesis have been proposed, evaluating the quality of synthetic time series data poses unique challenges and remains an open problem, as there is a lack of a clear definition of what constitutes a “good” synthesis. To this end, we present a comprehensive literature survey to identify different aspects of synthesis quality and their relationships. Based on this, we propose a definition of synthesis quality and a systematic evaluation procedure for assessing it. With this work, we aim to provide a common language and criteria for evaluating synthetic time series data. Our goal is to promote more rigorous and reproducible research in time series synthesis by enabling researchers and practitioners to generate high-quality synthetic time series data.

@article{10.1145/3666006, abstract = {Time series data are widely used and provide a wealth of information for countless applications. However, some applications are faced with a limited amount of data, or the data cannot be used due to confidentiality concerns. To overcome these obstacles, time series can be generated synthetically. For example, electrocardiograms can be synthesized to make them available for building models to predict conditions such as cardiac arrhythmia without leaking patient information. Although many different approaches to time series synthesis have been proposed, evaluating the quality of synthetic time series data poses unique challenges and remains an open problem, as there is a lack of a clear definition of what constitutes a “good” synthesis. To this end, we present a comprehensive literature survey to identify different aspects of synthesis quality and their relationships. Based on this, we propose a definition of synthesis quality and a systematic evaluation procedure for assessing it. With this work, we aim to provide a common language and criteria for evaluating synthetic time series data. Our goal is to promote more rigorous and reproducible research in time series synthesis by enabling researchers and practitioners to generate high-quality synthetic time series data.}, address = {New York, NY, USA}, author = {Stenger, Michael and Bauer, Andr\'{e} and Prantl, Thomas and Leppich, Robert and Hudson, Nathaniel and Chard, Kyle and Foster, Ian and Kounev, Samuel}, journal = {J. Data and Information Quality}, keywords = {t_journalmagazine}, month = {06}, number = 2, publisher = {Association for Computing Machinery}, title = {Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis}, volume = 16, year = 2024 }

%0 Journal Article %1 10.1145/3666006 %A Stenger, Michael %A Bauer, Andr{é} %A Prantl, Thomas %A Leppich, Robert %A Hudson, Nathaniel %A Chard, Kyle %A Foster, Ian %A Kounev, Samuel %C New York, NY, USA %D 2024 %I Association for Computing Machinery %J J. Data and Information Quality %N 2 %T Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis %U https://doi.org/10.1145/3666006 %V 16 %X Time series data are widely used and provide a wealth of information for countless applications. However, some applications are faced with a limited amount of data, or the data cannot be used due to confidentiality concerns. To overcome these obstacles, time series can be generated synthetically. For example, electrocardiograms can be synthesized to make them available for building models to predict conditions such as cardiac arrhythmia without leaking patient information. Although many different approaches to time series synthesis have been proposed, evaluating the quality of synthetic time series data poses unique challenges and remains an open problem, as there is a lack of a clear definition of what constitutes a “good” synthesis. To this end, we present a comprehensive literature survey to identify different aspects of synthesis quality and their relationships. Based on this, we propose a definition of synthesis quality and a systematic evaluation procedure for assessing it. With this work, we aim to provide a common language and criteria for evaluating synthetic time series data. Our goal is to promote more rigorous and reproducible research in time series synthesis by enabling researchers and practitioners to generate high-quality synthetic time series data.
Benchmarking of Secure Group Communication schemes with Focus on IoT. Prantl, Thomas; Bauer, André; Engel, Simon; Horn, Lukas; Krupitzer, Christian; Iffl"{a}nder, Lukas; Kounev, Samuel; in Discover Data (2024). 2(1)
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@article{PrBaEnHoKrIfKo_Discover_Data_2024, author = {Prantl, Thomas and Bauer, André and Engel, Simon and Horn, Lukas and Krupitzer, Christian and Iffl"{a}nder, Lukas and Kounev, Samuel}, journal = {Discover Data}, keywords = {t_journalmagazine}, month = {05}, number = 1, publisher = {Springer Science and Business Media LLC}, title = {Benchmarking of Secure Group Communication schemes with Focus on IoT}, volume = 2, year = 2024 }

%0 Journal Article %1 PrBaEnHoKrIfKo_Discover_Data_2024 %A Prantl, Thomas %A Bauer, André %A Engel, Simon %A Horn, Lukas %A Krupitzer, Christian %A Iffl"{a}nder, Lukas %A Kounev, Samuel %D 2024 %I Springer Science and Business Media LLC %J Discover Data %N 1 %T Benchmarking of Secure Group Communication schemes with Focus on IoT %U http://dx.doi.org/10.1007/s44248-024-00010-6 %V 2
Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme. Prantl, Thomas; Lauer, Marco; Horn, Lukas; Engel, Simon; Dingel, David; Kounev, Samuel; Bauer, André; Krupitzer, Christian; in Proceedings of the 19th International Conference on Availability, Reliability and Security (2024).
- [ BibTeX ]
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@inproceedings{ARES_2024_ABE, author = {Prantl, Thomas and Lauer, Marco and Horn, Lukas and Engel, Simon and Dingel, David and Kounev, Samuel and Bauer, André and Krupitzer, Christian}, booktitle = {Proceedings of the 19th International Conference on Availability, Reliability and Security}, keywords = {descartes}, publisher = {ACM}, series = {ARES 2024}, title = {Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme}, year = 2024 }

%0 Conference Paper %1 ARES_2024_ABE %A Prantl, Thomas %A Lauer, Marco %A Horn, Lukas %A Engel, Simon %A Dingel, David %A Kounev, Samuel %A Bauer, André %A Krupitzer, Christian %B Proceedings of the 19th International Conference on Availability, Reliability and Security %D 2024 %I ACM %T Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme
De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS cryptosystem. Prantl, Thomas; Horn, Lukas; Engel, Simon; Iffländer, Lukas; Beierlieb, Lukas; Krupitzer, Christian; Bauer, André; Sakarvadia, Mansi; Foster, Ian; Kounev, Samuel; in International Journal of Information Security (2023).
- [ BibTeX ]
- [ EndNote ]
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@article{PrHoEnIfBeKrBaSaFoKo_IJoIS_SGC_Pareto, author = {Prantl, Thomas and Horn, Lukas and Engel, Simon and Iffl\"ander, Lukas and Beierlieb, Lukas and Krupitzer, Christian and Bauer, Andr\'e and Sakarvadia, Mansi and Foster, Ian and Kounev, Samuel}, journal = {International Journal of Information Security}, keywords = {t_journalmagazine}, month = 11, title = {De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS cryptosystem}, year = 2023 }

%0 Journal Article %1 PrHoEnIfBeKrBaSaFoKo_IJoIS_SGC_Pareto %A Prantl, Thomas %A Horn, Lukas %A Engel, Simon %A Iffländer, Lukas %A Beierlieb, Lukas %A Krupitzer, Christian %A Bauer, André %A Sakarvadia, Mansi %A Foster, Ian %A Kounev, Samuel %D 2023 %J International Journal of Information Security %R https://doi.org/10.1007/s10207-023-00781-0 %T De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS cryptosystem
Recommendation of Secure Group Communication Schemes using Multi Objective Optimization. Prantl, Thomas; Bauer, André; Iffländer, Lukas; Krupitzer, Christian; Kounev, Samuel; in International Journal of Information Security (2023).
- [ BibTeX ]
- [ EndNote ]
@article{PrBaIfKrKo_IJoIS_SGC_Pareto, author = {Prantl, Thomas and Bauer, André and Iffländer, Lukas and Krupitzer, Christian and Kounev, Samuel}, journal = {International Journal of Information Security}, keywords = {t_journalmagazine}, title = {Recommendation of Secure Group Communication Schemes using Multi Objective Optimization}, year = 2023 }

%0 Journal Article %1 PrBaIfKrKo_IJoIS_SGC_Pareto %A Prantl, Thomas %A Bauer, André %A Iffländer, Lukas %A Krupitzer, Christian %A Kounev, Samuel %D 2023 %J International Journal of Information Security %T Recommendation of Secure Group Communication Schemes using Multi Objective Optimization

List of all publications: Thomas Prantl

Teaching

Provisioning of topics for "Seminar Software Engineering" and supervision of participating students
Supervisions of software project in the "Softwarepraktikum" (practical course teaching students to complete software projects in a team)
Coordination of the exercises on the bachelor's lecture "Softwaretechnik" by Prof. Samuel Kounev, University of Würzburg

Conference and Workshop Organisation

ACM/SPEC International Conference on Performance Evaluation (ICPE) 2022 as Web Chair
SPS Special Session on Cyber Resilience and Antifragility in Complex Distributed Systems (CyRA) 2021 as PC member
Workshop on Self-Aware Computing (SEAC) 2020 as Publicity Chair

Selected Reviewer Activities

Mascots 2020
Mascots 2019
Subreviewer ICPE 2019

Degrees

Master Informatik (Master of Computer Science)
1. Staatsexamen für das Lehramt am Gymnasium (Physik/Informatik)
Bachelor Informatik (Bachelor of Computer Science)
Bachelor Naturwissenschaftliche Grundlagen (Bachelor of Natural Science Foundations)

Thomas Prantl, M.Sc.

Research Interests

Selected Publications:

List of all publications: Thomas Prantl

Teaching

Conference and Workshop Organisation

Selected Reviewer Activities

Degrees

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Hinweis zum Datenschutz

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