Publications

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 ]

@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
%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

Performance Impact Analysis of Homomorphic Encryption: A Case Study Using Linear Regression as an Example. Prantl, Thomas; Engel, Simon; Horn, Lukas; Kaiser, Dennis; Iffländer, Lukas; Bauer, André; Krupitzer, Christian; Kounev, Samuel; in Information Security Practice and Experience, W. Meng, Z. Yan, V. Piuri (eds.) (2023). 284–298.

[ Abstract ]
[ BibTeX ]
[ EndNote ]

In recent years, the trend has increasingly been to store and process data in the cloud. However, this is based on the premise that cloud providers treat the data in a trustworthy manner. One way of using the data in the cloud without the provider having access to it is homomorphic encryption. However, since this encryption has only recently become practicable, analysis of its for practical applications is still in its infancy. Therefore, we investigate the performance of homomorphic encryption using a real-world application, namely linear regression. Our main finding is that although the homomorphic computation of linear regression is in the range of minutes and thus slower than in the non-homomorphic case, linear regression can be computed homomorphic and is therefore suitable for use cases where data security is the top priority.

@inproceedings{PrEnHoDeIfBaKrKo_ISPEC_De_Bello,
  abstract = {In recent years, the trend has increasingly been to store and process data in the cloud. However, this is based on the premise that cloud providers treat the data in a trustworthy manner. One way of using the data in the cloud without the provider having access to it is homomorphic encryption. However, since this encryption has only recently become practicable, analysis of its for practical applications is still in its infancy. Therefore, we investigate the performance of homomorphic encryption using a real-world application, namely linear regression. Our main finding is that although the homomorphic computation of linear regression is in the range of minutes and thus slower than in the non-homomorphic case, linear regression can be computed homomorphic and is therefore suitable for use cases where data security is the top priority.},
  address = {Singapore},
  author = {Prantl, Thomas and Engel, Simon and Horn, Lukas and Kaiser, Dennis and Iffl\"ander, Lukas and Bauer, Andr\'e and Krupitzer, Christian and Kounev, Samuel},
  booktitle = {Information Security Practice and Experience},
  editor = {Meng, Weizhi and Yan, Zheng and Piuri, Vincenzo},
  keywords = {t_proceedings},
  pages = {284–298},
  publisher = {Springer Nature Singapore},
  title = {Performance Impact Analysis of Homomorphic Encryption: A Case Study Using Linear Regression as an Example},
  year = 2023
}

%0 Conference Paper
%1 PrEnHoDeIfBaKrKo_ISPEC_De_Bello
%A Prantl, Thomas
%A Engel, Simon
%A Horn, Lukas
%A Kaiser, Dennis
%A Iffländer, Lukas
%A Bauer, André
%A Krupitzer, Christian
%A Kounev, Samuel
%B Information Security Practice and Experience
%C Singapore
%D 2023
%E Meng, Weizhi
%E Yan, Zheng
%E Piuri, Vincenzo
%I Springer Nature Singapore
%P 284--298
%T Performance Impact Analysis of Homomorphic Encryption: A Case Study Using Linear Regression as an Example
%X In recent years, the trend has increasingly been to store and process data in the cloud. However, this is based on the premise that cloud providers treat the data in a trustworthy manner. One way of using the data in the cloud without the provider having access to it is homomorphic encryption. However, since this encryption has only recently become practicable, analysis of its for practical applications is still in its infancy. Therefore, we investigate the performance of homomorphic encryption using a real-world application, namely linear regression. Our main finding is that although the homomorphic computation of linear regression is in the range of minutes and thus slower than in the non-homomorphic case, linear regression can be computed homomorphic and is therefore suitable for use cases where data security is the top priority.

An Experience Report on the Suitability of a Distributed Group Encryption Scheme for an IoT Use Case. Prantl, Thomas; Engel, Simon; Bauer, Andre; Ben Yahya, Ala Eddine; Herrnleben, Stefan; Iffländer, Lukas; Dmitrienko, Alexandra; Kounev, Samuel; in 2022 IEEE 95th Vehicular Technology Conference (VTC2022) (2022).

[ BibTeX ]
[ EndNote ]

@inproceedings{PrEnBaAlHeIfDmKo2022-IoT/CPS-DistributedGroupEncryption,
  author = {Prantl, Thomas and Engel, Simon and Bauer, Andre and Ben Yahya, Ala Eddine and Herrnleben, Stefan and Iffländer, Lukas and Dmitrienko, Alexandra and Kounev, Samuel},
  booktitle = {2022 IEEE 95th Vehicular Technology Conference (VTC2022)},
  keywords = {t_workshop},
  organization = {IEEE},
  title = {An Experience Report on the Suitability of a Distributed Group Encryption Scheme for an IoT Use Case},
  year = 2022
}

%0 Conference Paper
%1 PrEnBaAlHeIfDmKo2022-IoT/CPS-DistributedGroupEncryption
%A Prantl, Thomas
%A Engel, Simon
%A Bauer, Andre
%A Ben Yahya, Ala Eddine
%A Herrnleben, Stefan
%A Iffländer, Lukas
%A Dmitrienko, Alexandra
%A Kounev, Samuel
%B 2022 IEEE 95th Vehicular Technology Conference (VTC2022)
%D 2022
%T An Experience Report on the Suitability of a Distributed Group Encryption Scheme for an IoT Use Case

Performance Impact Analysis of Securing MQTT Using TLS. Prantl, Thomas; Iffländer, Lukas; Herrnleben, Stefan; Engel, Simon; Kounev, Samuel; Krupitzer, Christian; in 2021 ACM/SPEC International Conference on Performance Engineering (ICPE) (2021).

[ BibTeX ]
[ EndNote ]

@inproceedings{PrTeIfHeDmKo2021-ICPE-MQTT_TLS,
  author = {Prantl, Thomas and Iffländer, Lukas and Herrnleben, Stefan and Engel, Simon and Kounev, Samuel and Krupitzer, Christian},
  booktitle = {2021 ACM/SPEC International Conference on Performance Engineering (ICPE)},
  keywords = {IoT},
  month = {04},
  series = {ICPE'21},
  title = {Performance Impact Analysis of Securing MQTT Using TLS},
  year = 2021
}

%0 Conference Paper
%1 PrTeIfHeDmKo2021-ICPE-MQTT_TLS
%A Prantl, Thomas
%A Iffländer, Lukas
%A Herrnleben, Stefan
%A Engel, Simon
%A Kounev, Samuel
%A Krupitzer, Christian
%B 2021 ACM/SPEC International Conference on Performance Engineering (ICPE)
%D 2021
%T Performance Impact Analysis of Securing MQTT Using TLS

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