TY - GEN A1 - Renner, Sebastian A1 - Pozzobon, Enrico A1 - Mottok, Jürgen T1 - 3rd Round Ciphers Evaluation on Microcontrollers T2 - Lightweight Cryptography Workshop (virtual): May 9-11 2022 Y1 - 2022 UR - https://www.nist.gov/video/day-1-part-2-lightweight-cryptography-workshop-2022 PB - National Institute of Standards and Technology (NIST) CY - Gaithersburg ER - TY - CHAP A1 - Renner, Sebastian A1 - Pozzobon, Enrico A1 - Mottok, Jürgen ED - Li, Wenjuan ED - Furnell, Steven ED - Meng, Weizhi T1 - The Final Round: Benchmarking NIST LWC Ciphers on Microcontrollers T2 - Attacks and Defenses for the Internet-of-Things, 5th International Workshop, ADIoT 2022: Copenhagen, Denmark, September 30, 2022, Revised Selected Papers N2 - In this work, we present our benchmarking results for the ten finalist ciphers of the Lightweight Cryptography (LWC) project initiated by National Institute of Standards and Technology (NIST). We evaluate the speed and code size of various software implementations on five different platforms featuring four different architectures. Moreover, we benchmark the dynamic memory utilization of the remaining NIST LWC algorithms on one 32-bit ARM controller. We describe our test cases and methodology and provide some information regarding the design and properties of the finalists before showing and discussing our results. Altogether, we evaluated almost 300 implementations of the 3rd round candidates and pick the most appropriate and best (primary) implementation of each cipher for our comparisons. We include a variant of AES-GCM in our benchmarking in order to be able to compare the state-of-the-art to the novel LWC ciphers. Our research gives an overview over the performance of the latest software implementations of the NIST LWC finalists and shows under which circumstances which candidate is performing the best in our individual test cases. Additionally, we make all benchmarking results, the code for our test framework and every tested implementation available to the public to ensure a transparent testing process. Y1 - 2022 SN - 978-3-031-21311-3 U6 - https://doi.org/10.1007/978-3-031-21311-3_1 SP - 1 EP - 20 PB - Springer Nature CY - Cham ER - TY - CHAP A1 - Renner, Sebastian A1 - Pozzobon, Enrico A1 - Mottok, Jürgen ED - Li, Wenjuan ED - Furnell, Steven ED - Meng, Weizhi T1 - Evolving a Boolean Masked Adder Using Neuroevolution T2 - Attacks and Defenses for the Internet-of-Things, 5th International Workshop, ADIoT 2022: Copenhagen, Denmark, September 30, 2022, Revised Selected Papers N2 - The modular addition is a popular building block when designing lightweight ciphers. While algorithms mainly based on the addition can reach very high performance, masking their implementations results in a huge penalty. Since efficient protection against side-channel attacks is a requirement in lots of use cases, we focus on optimizing the Boolean masking of the modular addition. Contrary to recent related work, we target evolving a masked full adder instead of parts of a parallel prefix adder. We study how techniques typically found in neural network evolution and genetic algorithms can be adapted in order to help in evolving an efficiently masked adder. We customize a well-known neuroevolution algorithm, develop an optimized masked adder with our new approach and implement the ChaCha20 cipher on an ARM Cortex-M3 controller. We compare the performance of the protected neuroevolved implementation to solutions found by traditional search methods. Moreover, the leakage of our new solution is validated by a t-test conducted with a leakage simulator. We present under which circumstances our masked implementation outperforms related work and prove the feasibility of successfully using neuroevolution when searching for complex Boolean networks. Y1 - 2022 SN - 978-3-031-21310-6 U6 - https://doi.org/10.1007/978-3-031-21311-3_2 SP - 21 EP - 40 PB - Springer Nature CY - Cham ER - TY - THES A1 - Renner, Sebastian T1 - Secure Lightweight Authenticated Encryption for Critical Infrastructures in the Internet of Things N2 - The cryptographic protection of transmitted data on resource-constraint IoT devices presents a difficult challenge. In this thesis, a benchmarking framework for the performance evaluation of lightweight encryption algorithms is introduced. It is analyzed, if and when novel encryption algorithms are more suitable for IoT use cases than the current standard. Besides comparing the sole performance, the cost for hardening the algorithms against side-channel analysis is discussed. N2 - Die kryptographische Absicherung der von ressourcenschwachen IoT-Geräten übertragenen Daten stellt eine schwierige Herausforderung dar. In dieser Arbeit wird eine Plattform zur Evaluierung der Performanz leichtgewichtiger Verschlüsselungsalgorithmen eingeführt. Es wird analysiert, ob und unter welchen Umständen neuartige Algorithmen für den IoT-Bereich passender sind als der aktuelle Standard. Außerdem werden effiziente Härtungsmaßnahmen der Algorithmen gegenüber Seitenkanalangriffen untersucht. T2 - Sichere leichtgewichtige authentifizierte Verschlüsselung für kritische Infrastrukturen im Internet der Dinge Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20230922-1703211-1-0 UR - https://mediatum.ub.tum.de/?id=1703211 ER -