TY - GEN A1 - Natarov, Roman A1 - Sudakov, Oleksandr A1 - Dyka, Zoya A1 - Kabin, Ievgen A1 - Maksymyuk, O. A1 - Iegorova, O. A1 - Krishtal, Oleg A. A1 - Langendörfer, Peter T1 - Resilience Aspects in Distributed Wireless Electroencephalographic Sampling T2 - 2020 9th Mediterranean Conference on Embedded Computing (MECO) Y1 - 2020 SN - 978-1-7281-6949-1 SN - 978-1-7281-6947-7 U6 - https://doi.org/10.1109/MECO49872.2020.9134157 ER - TY - GEN A1 - Petryk, Dmytro A1 - Dyka, Zoya A1 - Pérez, Eduardo A1 - Mahadevaiah, Mamathamba Kalishettyhalli A1 - Kabin, Ievgen A1 - Wenger, Christian A1 - Langendörfer, Peter T1 - Evaluation of the Sensitivity of RRAM Cells to Optical Fault Injection Attacks T2 - EUROMICRO Conference on Digital System Design (DSD 2020), Special Session: Architecture and Hardware for Security Applications (AHSA) Y1 - 2021 SN - 978-1-7281-9535-3 U6 - https://doi.org/10.1109/DSD51259.2020.00047 SN - 978-1-7281-9536-0 ER - TY - GEN A1 - Dyka, Zoya A1 - Vogel, Elisabeth A1 - Kabin, Ievgen A1 - Klann, Dan A1 - Shamilyan, Oxana A1 - Langendörfer, Peter T1 - No Resilience without Security T2 - International Conference on Cyber-Physical Systems and Internet-of-Things (CPS & IoT 2020) Y1 - 2020 SN - 978-1-7281-6949-1 SN - 978-1-7281-6950-7 U6 - https://doi.org/10.1109/MECO49872.2020.9134179 ER - TY - GEN A1 - Kabin, Ievgen A1 - Klann, Dan A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Fast Dual-Field ECDSA Accelerator with Increased Resistance against Horizontal SCA Attacks T2 - 2021 IEEE International Conference on Cyber Security and Resilience (CSR) Y1 - 2021 SN - 978-1-6654-0285-9 U6 - https://doi.org/10.1109/CSR51186.2021.9527912 ER - TY - GEN A1 - Shamilyan, Oxana A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Kuba, Michael A1 - Langendörfer, Peter T1 - Octopuses: Biological Facts and Technical Solutions T2 - 2021 10th Mediterranean Conference on Embedded Computing (MECO) Y1 - 2021 SN - 978-1-6654-2989-4 U6 - https://doi.org/10.1109/MECO52532.2021.9459727 SN - 2637-9511 ER - TY - GEN A1 - Shamilyan, Oxana A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Sudakov, Oleksandr A1 - Cherninskyi, Andrii A1 - Brzozowski, Marcin A1 - Langendörfer, Peter T1 - Intelligence and Motion Models of Continuum Robots: an Overview T2 - IEEE Access N2 - Many technical solutions are bio-inspired. Octopus-inspired robotic arms belong to continuum robots which are used in minimally invasive surgery or for technical system restoration in areas difficult-to-access. Continuum robot missions are bounded with their motions, whereby the motion of the robots is controlled by humans via wireless communication. In case of a lost connection, robot autonomy is required. Distributed control and distributed decision-making mechanisms based on artificial intelligence approaches can be a promising solution to achieve autonomy of technical systems and to increase their resilience. However these methods are not well investigated yet. Octopuses are the living example of natural distributed intelligence but their learning and decision-making mechanisms are also not fully investigated and understood yet. Our major interest is investigating mechanisms of Distributed Artificial Intelligence as a basis for improving resilience of complex systems. We decided to use a physical continuum robot prototype that is able to perform some basic movements for our research. The idea is to research how a technical system can be empowered to combine movements into sequences of motions by itself. For the experimental investigations a suitable physical prototype has to be selected, its motion control has to be implemented and automated. In this paper, we give an overview combining different fields of research, such as Distributed Artificial Intelligence and continuum robots based on 98 publications. We provide a detailed description of the basic motion control models of continuum robots based on the literature reviewed, discuss different aspects of autonomy and give an overview of physical prototypes of continuum robots. KW - Robots KW - Artificial intelligence KW - Resilience KW - Continuum robots Y1 - 2023 U6 - https://doi.org/10.1109/ACCESS.2023.3286300 SN - 2169-3536 IS - 11 SP - 60988 EP - 61003 ER - TY - GEN A1 - Kabin, Ievgen A1 - Langendörfer, Peter A1 - Dyka, Zoya T1 - Vulnerability of Atomic Patterns to Simple SCA T2 - 19th IEEE East-West Design & Test Symposium (EWDTS 2023), (2023) N2 - In this work we discuss the vulnerability of atomic pattern algorithms for elliptic curve point multiplication against simple side-channel analysis attacks using our own implementation as an example. One of the assumptions, on which the atomicity principle is based, is the indistinguishability of operations with different registers, i.e. storing of the data into two different registers cannot be distinguished if their old and new data values are the same. But before the data can be stored in a register/block, this register/block has to be addressed for storing the data. Different registers/blocks have different addresses. The key-dependent addressing of registers/blocks is an inherent feature of the binary kP algorithms and allows to reveal the key k. In our work we demonstrated it. This means that the main assumption, that addressing of different registers/blocks is an indistinguishable operation, may no longer be applied when realizing kP implementations, at least not for hardware implementations. KW - Elliptic curves KW - NIST KW - Elliptic curve cryptography KW - Atomicity principle KW - Side-channel Analysis (SCA) KW - Simple Power Analysis (SPA) KW - Horizontal attacks KW - Address-bit attacks Y1 - 2023 SN - 979-8-3503-1484-7 U6 - https://doi.org/10.1109/EWDTS59469.2023.10297074 SN - 2472-761X ER - TY - GEN A1 - Sigourou, Alkistis A1 - Kabin, Ievgen A1 - Langendörfer, Peter A1 - Sklavos, Nicolas A1 - Dyka, Zoya T1 - Successful Simple Side Channel Analysis: Vulnerability of an Atomic Pattern kP Algorithm Implemented with a Constant Time Crypto Library to Simple Electromagnetic Analysis Attacks T2 - 12th Mediterranean Conference on Embedded Computing (MECO 2023), 167 (2023) Y1 - 2023 SN - 979-8-3503-2291-0 SN - 979-8-3503-2290-3 U6 - https://doi.org/10.1109/MECO58584.2023.10154940 SN - 2637-9511 ER - TY - GEN A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Randomized Addressing Countermeasures are Inefficient against Address-Bit SCA T2 - IEEE International Conference on Cyber Security and Resilience (CSR 2023), 580 (2023) Y1 - 2023 SN - 979-8-3503-1170-9 SN - 979-8-3503-1171-6 U6 - https://doi.org/10.1109/CSR57506.2023.10224968 ER - 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 - 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 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Klann, Dan A1 - Langendörfer, Peter T1 - EC P-256: Successful Simple Power Analysis T2 - arXiv Y1 - 2021 U6 - https://doi.org/10.48550/arXiv.2106.12321 SP - 1 EP - 5 ER - TY - GEN A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Klann, Dan A1 - Langendörfer, Peter T1 - EC Scalar Multiplication: Successful Simple Address-Bit SCA Attack against Atomic Patterns T2 - IEEE 22nd Latin American Test Symposium (LATS) Y1 - 2021 SN - 978-1-6654-2058-7 U6 - https://doi.org/10.1109/LATS53581.2021.9651877 SN - 2373-0862 ER - TY - GEN A1 - Sosa, Omar Alejandro A1 - Dyka, Zoya A1 - Kabin, Ievgen A1 - Langendörfer, Peter T1 - Simulation of Electromagnetic Emanation of Cryptographic ICs: Tools, Methods, Problems T2 - 19th IEEE East-West Design & Test Symposium (EWDTS 2021), 12 (2021) Y1 - 2021 SN - 978-1-6654-4504-7 U6 - https://doi.org/10.1109/EWDTS52692.2021.9581013 SN - 2472-761X ER - TY - GEN A1 - Dyka, Zoya A1 - Kabin, Ievgen A1 - Klann, Dan A1 - Langendörfer, Peter T1 - Multiplier as a Mean for Reducing Vulnerability of Atomic Patterns to Horizontal Address-Bit Attacks T2 - 2021 10th Mediterranean Conference on Embedded Computing (MECO) Y1 - 2021 SN - 978-1-6654-2989-4 SN - 978-1-6654-3912-1 U6 - https://doi.org/10.1109/MECO52532.2021.9460158 SN - 2377-5475 SN - 2637-9511 ER - TY - GEN A1 - Aftowicz, Marcin A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Clustering versus Statistical Analysis for SCA: when Machine Learning is Better T2 - 2021 10th Mediterranean Conference on Embedded Computing (MECO) Y1 - 2021 SN - 978-1-6654-2989-4 SN - 978-1-6654-3912-1 U6 - https://doi.org/10.1109/MECO52532.2021.9460161 SN - 2377-5475 SN - 2637-9511 ER - TY - GEN A1 - Sosa, Omar Alejandro A1 - Dyka, Zoya A1 - Kabin, Ievgen A1 - Langendörfer, Peter T1 - Cryptographic ICs: Simulation of Electromagnetic Radiation T2 - Proc. 33rd Crypto-Day Matters 2021, (2021) Y1 - 2021 U6 - https://doi.org/10.18420/cdm-2021-33-13 ER - TY - GEN A1 - Mykytyn, Pavlo A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Ensuring a Secure Communication Between a GCS and a UAV via the MAVlink Protocol T2 - Proc. 33rd Crypto-Day Matters 2021, (2021) Y1 - 2021 U6 - https://doi.org/10.18420/cdm-2021-33-21 ER - TY - GEN A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Klann, Dan A1 - Langendörfer, Peter T1 - Breaking of an Open Source Fully Balanced Elliptic Curve Design using Automated Simple SCA T2 - Proc. 32. Crypto-Day Matters 2021, (2021) Y1 - 2021 U6 - https://doi.org/10.18420/cdm-2021-32-23 ER - TY - GEN A1 - Klann, Dan A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Efficient Implementation of Unified ECC Accelerators based on the Karatsuba Multiplication Method T2 - Proc. 32. Crypto-Day Matters 2021, (2021) Y1 - 2021 U6 - https://doi.org/10.18420/cdm-2021-32-24 ER - TY - GEN A1 - Aftowicz, Marcin A1 - Klann, Dan A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Extended Horizontal SCA Attack using Clustering Algorithm T2 - Proc. 32. Crypto-Day Matters 2021, (2021) Y1 - 2021 U6 - https://doi.org/10.18420/cdm-2021-32-25 ER - TY - GEN A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Klann, Dan A1 - Aftowicz, Marcin A1 - Langendörfer, Peter T1 - FFT based Horizontal SCA Attack against ECC T2 - 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS) Y1 - 2021 SN - 978-1-6654-4400-2 U6 - https://doi.org/10.1109/NTMS49979.2021.9432665 SN - 2157-4960 ER - TY - GEN A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Klann, Dan A1 - Aftowicz, Marcin A1 - Langendörfer, Peter T1 - Resistance of the Montgomery Ladder against Simple SCA: Theory and Practice T2 - Journal of Electronic Testing Y1 - 2021 U6 - https://doi.org/10.1007/s10836-021-05951-3 SN - 1573-0727 SN - 0923-8174 VL - 37 IS - 3 SP - 289 EP - 303 ER - TY - GEN A1 - Petryk, Dmytro A1 - Dyka, Zoya A1 - Pérez, Eduardo A1 - Kabin, Ievgen A1 - Katzer, Jens A1 - Schäffner, Jan A1 - Langendörfer, Peter T1 - Sensitivity of HfO2-based RRAM Cells to Laser Irradiation T2 - Microprocessors and Microsystems Y1 - 2021 U6 - https://doi.org/10.1016/j.micpro.2021.104376 SN - 0141-9331 IS - 87 ER - TY - GEN A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Klann, Dan A1 - Schäffner, Jan A1 - Langendörfer, Peter T1 - On the Complexity of Attacking Commercial Authentication Products T2 - Microprocessors and Microsystems Y1 - 2021 U6 - https://doi.org/10.1016/j.micpro.2020.103480 SN - 0141-9331 IS - 80 ER - TY - GEN A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Atomicity and Regularity Principles do not Ensure Full Resistance of ECC Designs against Single-Trace Attacks T2 - Sensors Y1 - 2022 U6 - https://doi.org/10.3390/s22083083 SN - 1424-8220 VL - 22 IS - 8 ER - TY - GEN A1 - Dyka, Zoya A1 - Kabin, Ievgen A1 - Brzozowski, Marcin A1 - Panic, Goran A1 - Calligaro, Cristiano A1 - Krstic, Milos A1 - Langendörfer, Peter T1 - On the SCA Resistance of Crypto IP Cores T2 - 23rd IEEE Latin-American Test Symposium (LATS 2022), Montevideo, Uruguay, 05-08 September 2022 Y1 - 2022 SN - 978-1-6654-5707-1 SN - 978-1-6654-5708-8 U6 - https://doi.org/10.1109/LATS57337.2022.9937007 SN - 2373-0862 ER - TY - GEN A1 - Shamilyan, Oxana A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Langendörfer, Peter T1 - Distributed Artificial Intelligence as a Means to Achieve Self-X-Functions for Increasing Resilience: the First Steps T2 - 11th Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro, 07-10 June 2022 Y1 - 2022 SN - 978-1-6654-6828-2 SN - 978-1-6654-6827-5 U6 - https://doi.org/10.1109/MECO55406.2022.9797193 SN - 2637-9511 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 - TY - GEN A1 - Pidvalnyi, Illia A1 - Kostenko, Anna A1 - Sudakov, Oleksandr A1 - Isaev, Dmytro A1 - Maximyuk, Oleksandr A1 - Krishtal, Oleg A1 - Iegorova, Olena A1 - Kabin, Ievgen A1 - Dyka, Zoya A1 - Ortmann, Steffen A1 - Langendörfer, Peter T1 - Classification of epileptic seizures by simple machine learning techniques : application to animals’ electroencephalography signals T2 - IEEE access N2 - Detection and prediction of the onset of seizures are among the most challenging problems in epilepsy diagnostics and treatment. Small electronic devices capable of doing that will improve the quality of life for epilepsy patients while also open new opportunities for pharmacological intervention. This paper presents a novel approach using machine learning techniques to detect seizures onset using intracranial electroencephalography (EEG) signals. The proposed approach was tested on intracranial EEG data recorded in rats with pilocarpine model of temporal lobe epilepsy. A principal component analysis was applied for feature selection before using a support vector machine for the detection of seizures. Hjorth’s parameters and Daubechies discrete wavelet transform coefficients were found to be the most informative features of EEG data. We found that the support vector machine approach had a classification sensitivity of 90% and a specificity of 74% for detecting ictal episodes. Changing the epoch parameter from one to twenty-one seconds results in changing the redistribution of principal components’ values to 10% but does not affect the classification result. Support vector machines are accessible and convenient methods for classification that have achieved promising classification quality, and are rather lightweight compared to other machine learning methods. So we suggest their future use in mobile devices for early epileptic seizure and preictal episode detection. KW - Epilepsy KW - Single-channel intracranial encephalographic data KW - PCA KW - SVM KW - Automated system KW - Rats Y1 - 2025 U6 - https://doi.org/10.1109/ACCESS.2025.3527866 SN - 2169-3536 VL - 13 SP - 8951 EP - 8962 PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Piscataway, NJ ER -