TY - GEN A1 - Aftowicz, Marcin A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Non-Profiled Unsupervised Horizontal Iterative Attack against Hardware Elliptic Curve Scalar Multiplication Using Machine Learning T2 - Future Internet N2 - While IoT technology makes industries, cities, and homes smarter, it also opens the door to security risks. With the right equipment and physical access to the devices, the attacker can leverage side-channel information, like timing, power consumption, or electromagnetic emanation, to compromise cryptographic operations and extract the secret key. This work presents a side channel analysis of a cryptographic hardware accelerator for the Elliptic Curve Scalar Multiplication operation, implemented in a Field-Programmable Gate Array and as an Application-Specific Integrated Circuit. The presented framework consists of initial key extraction using a state-of-the-art statistical horizontal attack and is followed by regularized Artificial Neural Networks, which take, as input, the partially incorrect key guesses from the horizontal attack and correct them iteratively. The initial correctness of the horizontal attack, measured as the fraction of correctly extracted bits of the secret key, was improved from 75% to 98% by applying the iterative learning. KW - side channel analysis KW - machine learning KW - horizontal attack KW - non-profiled attack KW - FPGA KW - ASIC Y1 - 2024 U6 - https://doi.org/10.3390/fi16020045 SN - 1999-5903 VL - 16 IS - 2 ER - TY - GEN A1 - Mykytyn, Pavlo A1 - Brzozowski, Marcin A1 - Dyka, Zoya A1 - Langendoerfer, Peter T1 - A Survey on sensor- and communication-based issues of autonomous UAVs T2 - Computer Modeling in Engineering & Sciences Y1 - 2024 U6 - https://doi.org/10.32604/cmes.2023.029075 SN - 1526-1506 VL - 138 IS - 2 SP - 1019 EP - 1050 PB - Tech Science Press ER - TY - GEN A1 - Aftowicz, Marcin A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Advantages of unsupervised learning analysis methods in single-trace SCA attacks T2 - Microprocessors and Microsystems Y1 - 2024 U6 - https://doi.org/10.1016/j.micpro.2023.104994 SN - 0141-9331 VL - 105 PB - Elsevier BV ER - TY - GEN A1 - Kabin, Ievgen A1 - Schaeffner, Jan A1 - Sigourou, Alkistis A1 - Petryk, Dmytro A1 - Dyka, Zoya A1 - Klein, Dominik A1 - Freud, Sven A1 - Langendörfer, Peter T1 - Stealth attacks on PCBs: an experimental plausibility analysis T2 - 2024 IEEE International Conference on Cyber Security and Resilience (CSR) Y1 - 2024 U6 - https://doi.org/10.1109/CSR61664.2024.10679465 SP - 905 EP - 912 PB - IEEE ER - TY - GEN A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Sigourou, Alkistis-Aikaterini A1 - Langendörfer, Peter T1 - Static power consumption as a new side-channel analysis threat to elliptic curve cryptography implementations T2 - 2024 IEEE International Conference on Cyber Security and Resilience (CSR) Y1 - 2024 U6 - https://doi.org/10.1109/CSR61664.2024.10679507 SP - 884 EP - 889 PB - IEEE ER - TY - GEN A1 - Mykytyn, Pavlo A1 - Brzozowski, Marcin A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Towards secure and reliable heterogeneous real-time telemetry communication in autonomous UAV swarms T2 - Poster : iCCC2024 - iCampµs Cottbus Conference 2024-05-14 - 2024-05-16 Cottbus Y1 - 2024 U6 - https://doi.org/10.5162/iCCC2024/P15 SP - 222 EP - 225 PB - AMA Service GmbH CY - Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany ER - TY - GEN A1 - Kabin, Ievgen A1 - Langendoerfer, Peter A1 - Dyka, Zoya T1 - Exploiting static power consumption in side-channel analysis T2 - 2024 IEEE 25th Latin American Test Symposium (LATS) Y1 - 2024 U6 - https://doi.org/10.1109/LATS62223.2024.10534604 SP - 1 EP - 4 PB - IEEE ER - TY - GEN A1 - Dyka, Zoya A1 - Kabin, Ievgen A1 - Brzozowski, Marcin A1 - Panic, Goran A1 - Calligaro, Cristiano A1 - Krstic, Milos A1 - Langendoerfer, Peter T1 - On the influence of cell libraries and other parameters to SCA resistance of crypto IP cores T2 - 2024 13th Mediterranean Conference on Embedded Computing (MECO) N2 - The ever-growing complexity of modern systems as well as the shrinking time to market enforces the use of already designed hardware components i.e. hard and soft IP cores. The fact that also requirements with respect to security significantly increased and that side-channel analysis (SCA) attacks are meanwhile a well-known threat it is paramount to ensure SCA resistance of ASICs and FPGA implementations derived from cryptographic IP cores. This requires to evaluate this feature for each IP core and target technology even down to the level of the cell library. The experiments reported here clearly show that the three available cell libraries even though developed for the same 130nm technology of IHP exhibit different sensitivity to SCA attacks ranging from quite resistant to very vulnerable. KW - Cryptographic IP cores KW - Elliptic curve cryptography (ECC) KW - Side-channel analysis (SCA) attacks KW - SCA resistance KW - Differential power analysis (DPA) KW - Horizontal attacks Y1 - 2024 SN - 979-8-3503-8756-8 U6 - https://doi.org/10.1109/MECO62516.2024.10577776 SP - 1 EP - 5 PB - IEEE CY - Piscataway, NJ ER - TY - GEN A1 - Shamilyan, Oxana A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Resilient movement planning for continuum robots T2 - MODeM 2024 : Multi-Objective Decision Making Workshop at ECAI 2024, 20 October 2024, Santiago de Compostela, Spain N2 - The paper presents an experimental study of resilient path planning for con-tinuum robots taking into account the multi-objective optimisation problem. To do this, we used two well-known algorithms, namely Genetic algorithm and A* algorithm, for path planning and the Analytical Hierarchy Process algorithm for paths evaluation. In our experiment Analytical Hierarchy Process algorithm considers four different criteria, i.e. distance, motors damage, mechanical damage and accuracy each considered to contribute to the resilience of a continuum robot. The use of different criteria is necessary to increasing the time to maintenance operations of the robot. The experiment shows that on the one hand both algorithms can be used in combination with Analytical Hierarchy Process algorithm for multi criteria path-planning, while Genetic algorithm shows superior performance in the comparison of the two algorithms. Y1 - 2024 UR - https://modem2024.vub.ac.be/papers/MODeM2024_paper_3.pdf U6 - https://doi.org/10.48550/arXiv.2404.06178 SP - 1 EP - 7 ER -