Publications 2020

Script list Publications

(1) Horizontal SCA Attacks against kP Algorithm using K-Means and PCA
M. Aftowicz, I. Kabin, D. Klann, Y. Varabei, Z. Dyka, P. Langendörfer
Proc. 8th International Conference on Cyber-Physical Systems and Internet-of-Things (CPS & IoT 2020), 109 (2020)
DOI: 10.1109/MECO49872.2020.9134109, (Total Resilience)

(2) Bonded Wireless Networks: The Gateway to Real-Time Mobile Applications
M. Brzozowski, P. Langendörfer
Proc. 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020), (2020)
DOI: 10.23919/SoftCOM50211.2020.9238164, (wireless)

(3) Myoelectric Pattern Recognition of Hand Motions for Stroke Rehabilitation
J.C. Castiblanco, St. Ortmann, I.F. Mondragon, C. Alvarado-Rojas, M. Jöbges, J.D. Colorado
Biomedical Signal Processing and Control 57, 101737 (2020)
DOI: 10.1016/j.bspc.2019.101737
Pattern recognition techniques of myoelectric signals have been widely used to identify hand motions and gestures. These techniques have demonstrated that significant motor control information can be extracted and have been implemented in robotic-assistance like prosthesis control. Nevertheless, few investigations have been carried on subjects after a stroke event. In this study, a series of pattern recognition parameters were investigated in the classification of 4 hand exercises (open-close hand, flexion-extension wrist, spread fingers, and pinch grip) involving the affected limb of 4 stroke subjects. Features from EMG data in the time and frequency domains are extracted for training three different classification methods (svm, knn, lda). The classifiers are trained for each exercise individually. Also, it compares 3 methods of feature selection to maintain high levels of classification accuracy: Two-sample T-test with feature variances, Separability Index, and Davies-Boulding Index. The knn classifier obtained the best performance in average for all cases with 87:4% of accuracy, followed by SVM with 82:2% and LDA with 74:5%. The average classifier performances for each exercise were 90:9%, 84:6%, 83:5%, 66:2% for open-close hand, flexion-extension wrist, spread fingers, and pinch grip respectively.

(4) Full Error Detection and Correction Method Applied on Pipelined Structure using two Approaches
M. Dug, St. Weidling, E. Sogomonyan, D. Jokic, M. Krstic
Journal of Circuits, Systems, and Computers (JCSC) 29(13), 2050218 (2020)
DOI: 10.1142/S0218126620502187
In this paper, two approaches are evaluated using the Full Error Detection and Correction(FEDC) method for a pipelined structure. The approaches are referred to as Full Duplication with Comparison (FDC) and Concurrent Checking with Parity Prediction (CCPP). Aforementioned approaches are focused on the borderline cases of FEDC method which implement Error Detection Circuit (EDC) in two manners for the purpose of protection of combinational logic to address the soft errors of unspeci¯ed duration. The FDC approach implements a full duplication of the combinational circuit, as the most complex and expensive implementation of the FEDC method, and the CCPP approach implements only the parity prediction bit, being the simplest and cheapest technique, for soft error detection. Both approaches are capable of detecting soft errors in the combinational logic, with single faults being injected into the design. On the one hand, the FDC approach managed to detect and correct all injected faults while the CCPP approach could not detect multiple faults created at the output of combinational circuit. On the other hand, the FDC approach leads to higher power consumption and area increase compared to the CCPP approach.

(5) No Resilience without Security
Z. Dyka, E. Vogel, I. Kabin, D. Klann, O. Shamilyan, P. Langendörfer
Proc. 8th International Conference on Cyber-Physical Systems and Internet-of-Things (CPS & IoT 2020), 83 (2020)
DOI: 10.1109/MECO49872.2020.9134179, (Total Resilience)

(6) Demonstration of WISDOM - A Wireless in Field Measurement and Debugging Platform for Wireless Sensor Networks and Devices
M. Frohberg, P. Langendörfer
Works in Progress in Embedded Computing Journal (WiPiEC) 6(1), 1 (2020)
(DAKIS)

(7) Demonstration of WISDOM - A Wireless in Field Measurement and Debugging Platform for Wireless Sensor Networks and Devices
M. Frohberg, P. Langendörfer
Proc. 9th Mediterranean Conference on Embedded Computing (MECO 2020), 911 (2020)
(DAKIS)

(8) WORTECS: Enabling Untethered Virtual Reality through Optical Wireless Communication
V. Guerra, J. Rabadan, R. Perez-Jimenez, M. Brzozowski, V. Sark, R. Singh, G. Faulkner, D. O'Brien, B. Bechadergue, T. Weszely, O. Bouchet, G. Vercasson
Proc. 3rd South American Colloquium on Visible Light Communications (SACVC 2020), (2020)
DOI: 10.1109/SACVLC50805.2020.9129888, (WORTECS)

(9) Determining Optimal Parallel Schedules in Tree-Based WSNs Using a Realistic Interference Model
A. Ilic, P. Langendörfer, St. Weidling, M. Schölzel
Proc. 5th International Congress on Information and Communication Technology (ICICT 2020), in: Advances in Intelligent Systems and Computing, Springer, 1183, 572 (2020)
DOI: 10.1007/978-981-15-5856-6_57, (DAKIS)

(10) RESCUE: Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems
M. Jenihhin, S. Hamdioui, M. Sonza Reorda, M. Krstic, P. Langendörfer, C. Sauer, A. Klotz, M. Huebner, J. Nolte, H.T. Vierhaus, G. Selimis, D. Alexandrescu, M. Taouil, G.J. Schrijen, J. Raik, L. Sterpone, G. Squillero, Z. Dyka
Proc. Design, Automation & Test in Europe (DATE 2020), 388 (2020)
DOI: 10.23919/DATE48585.2020.9116558, (RESCUE)

(11) Resistance of the Montgomery kP Algorithm against Simple SCA: Theory and Practice
I. Kabin, Z. Dyka, M. Aftowicz, D. Klann, P. Langendörfer
Proc. 21st IEEE Latin-American Test Symposium (LATS 2020), (2020)
DOI: 10.1109/LATS49555.2020.9093678, (Total Resilience)

(12) On the Influence of the FPGA Compiler Optimization Options on the Success of the Horizontal Attack
I. Kabin, A. Sosa, Z. Dyka, D. Klann, P. Langendörfer
Proc. International Conference on Reconfigurable Computing and FPGAs (ReConFig 2019), (2020)
DOI: 10.1109/ReConFig48160.2019.8994807, (Total Resilience)

(13) Horizontal Attacks against ECC: From Simulations to ASIC
I. Kabin, Z. Dyka, D. Klann, P. Langendörfer
Proc. International Workshop on Information & Operational Technology (IT & OT) Security Systems (IOSec 2019), in: Computer Security, Springer, LNCS 11981, 64 (2020)
DOI: 10.1007/978-3-030-42051-2_5, (Total Resilience)

(14) Methods Increasing Inherent Resistance of ECC Designs against Horizontal Attacks
I. Kabin, Z. Dyka, D. Klann, P. Langendörfer
Integration, the VLSI Journal 73, 50 (2020)
DOI: 10.1016/j.vlsi.2020.03.001, (Total Resilience)
Due to the nature of applications such as critical infrastructure and the Internet of Things etc. side channel analysis attacks are becoming a serious threat. Side channel analysis attacks take advantage from the fact that the behaviour of crypto implementations can be observed and provides hints that simplify revealing keys. A new type of SCA is the so called horizontal differential SCA. In this paper we investigate two different approaches to increase the inherent resistance of our hardware accelerator for the kP operation. The first approach aims at reducing the impact of the addressing in our design by realizing a regular schedule of the addressing. In the second approach, we investigated how the formula used to implement the multiplication of GF(2n)-elements influences the results of horizontal DPA attacks against a Montgomery kP-implementation. We implemented 5 designs with different partial multipliers, i.e. based on different multiplication formulae. We used two different technologies, i.e. a 130 and a 250 nm technology, to simulate power traces for our analysis. We show that the implemented multiplication formula influences the success of horizontal attacks significantly. The combination of these two approaches leads to the most resistant design. For the 250 nm technology only 2 key candidates could be revealed with a correctness of about 70% which is a huge improvement given the fact that for the original design 7 key candidates achieved a correctness of more than 90%. For our 130 nm technology no key candidate was revealed with a correctness of more than 60%.

(15) Automated Simple Analysis Attack
I. Kabin, Z. Dyka, P. Langendörfer
Proc. 8th International Conference on Cyber-Physical Systems and Internet-of-Things (CPS & IoT 2020), 214 (2020)
DOI: 10.1109/MECO49872.2020.9134160, (Total Resilience)

(16) Breaking a Fully Balanced ASIC Coprocessor Implementing Complete Addition Formulas on Weierstrass Elliptic Curves
I. Kabin, Z. Dyka, D. Klann, N. Mentens, L. Batina, P. Langendörfer
Proc. 23rd EUROMICRO Conference on Digital System Design (DSD 2020), Special Session: Architectures and Hardware for Security Applications (AHSA), 270 (2020)
DOI: 10.1109/DSD51259.2020.00051, (Total Resilience)

(17) Effectiveness of myAirCoach: A mHealth Self-Management System in Asthma
R. Khusial, P.J. Honkoop, O. Usmani, M. Soares, A. Simpson, M. Biddiscombe, S. Meah, M. Bonini, A. Lalas, E. Polychronidou, J.G. Koopmans, K. Moustakas, J.B. Snoeck-Stroband, St. Ortmann, K. Votis, D. Tzovaras, K.F. Chung, S. Fowler, J.K. Sont
The Journal of Allergy and Clinical Immunology 8(6), 1972 (2020)
DOI: 10.1016/j.jaip.2020.02.018, (myAirCoach)

(18) Integration and Implementation of Four Different Elliptic Curves in a Single High-Speed Design Considering SCA
D. Klann, M. Aftowicz, I. Kabin, Z. Dyka, P. Langendörfer
Proc. 15th IEEE International Conference on Design & Technology of Integrated Systems in Nanoscale Era (DTIS 2020), (2020)
DOI: 10.1109/DTIS48698.2020.9081300, (fast sign)
Modern communication systems rely heavily on cryptography to ensure authenticity, confidentiality and integrity of exchanged messages. Elliptic Curve Cryptography (ECC) is one of the common used standard methods for encrypting and signing messages. In this paper we present our implementation of a design supporting four different NIST Elliptic Curves. The design supports two B-curves (B-233, B-283) and two P-curves (P-224, P-256). The implemented designs are sharing the following hardware components bus, multiplier, alu and registers. By implementing the 4 curves in a single design and reusing some resources we reduced the area by 14% compared to a design without resource sharing. Compared to a pure software solution running on an Arm Cortex A9 operating at 1GHz, our design ported to a FPGA is 1.2 to 6 times faster.

(19) High-Resolution Net Load Forecasting for Micro-Neighbourhoods with High Penetration of Renewable Energy Sources
P. Kobylinski, M. Wierzbowski, K. Piotrowski
International Journal of Electrical Power & Energy Systems 117, 105635 (2020)
DOI: 10.1016/j.ijepes.2019.105635, (e-balance)
Though extensive, the literature on electrical load forecasting lacks reports on studies focused on existing residential micro-neighbourhoods comprising small numbers of single-family houses equipped with solar panels. This paper provides a full description of an ANN-based model designed to predict short-term high-resolution (15-minute intervals) micro-scale residential net load profiles. Since it seems especially relevant due to the specificity of local autocorrelations in load signal, in this paper we put stress on the systematic approach to feature selection in the context of lagged signal. We performed a case study of a real micro-neighbourhood comprising only 75 single-family houses. The obtained average prediction error was equivalent to 5.4 per cent of the maximal measured net load. Both issues, i.e.: 1) the feasibility of micro-scale residential load forecasting taking into account renewable energy penetration, and 2) the feature selection problem, could be of interest to engineers designing energy balancing systems for local smart grids.

(20) High-Resolution Net Load Forecasting for Micro-Neighbourhoods with High Penetration of Renewable Energy Sources
P. Kobylinski, M. Wierzbowski, K. Piotrowski
International Journal of Electrical Power & Energy Systems 117, 105635 (2020)
DOI: 10.1016/j.ijepes.2019.105635, (SmartGrid Plattform)
Though extensive, the literature on electrical load forecasting lacks reports on studies focused on existing residential micro-neighbourhoods comprising small numbers of single-family houses equipped with solar panels. This paper provides a full description of an ANN-based model designed to predict short-term high-resolution (15-minute intervals) micro-scale residential net load profiles. Since it seems especially relevant due to the specificity of local autocorrelations in load signal, in this paper we put stress on the systematic approach to feature selection in the context of lagged signal. We performed a case study of a real micro-neighbourhood comprising only 75 single-family houses. The obtained average prediction error was equivalent to 5.4 per cent of the maximal measured net load. Both issues, i.e.: 1) the feasibility of micro-scale residential load forecasting taking into account renewable energy penetration, and 2) the feature selection problem, could be of interest to engineers designing energy balancing systems for local smart grids.

(21) Intelligent and Interactive Household Simulation for Energy Management Algorithms’ Evaluation
I. Koropiecki, P. Powroznik, K. Piotrowski
Proc. 13th Scientific Conference on Measurement Systems in Research and in Industry (MS 2020), 33 (2020)
(ebalance plus)

(22) Intelligent and Interactive Household Simulation for Energy Management Algorithms’ Evaluation
I. Koropiecki, P. Powroznik, K. Piotrowski
Proc. 13th Scientific Conference on Measurement Systems in Research and in Industry (MS 2020), 33 (2020)
(SmartGrid Plattform)

(23) Exploiting EEG Signals for Eye Motion Tracking
R. Kovtun, S. Radchenko, A. Netreba, O. Sudakov, R. Natarov, Z. Dyka, I. Kabin, P. Langendörfer
Proc. 18th IEEE East-West Design & Test Symposium (EWDTS 2020), 120 (2020)
DOI: 10.1109/EWDTS50664.2020.9225144, (Total Resilience)

(24) Generic Energy Production Model for Smart Grid Emulation
M. Krysik, R. Rybski, K. Piotrowski
Proc. 13th Scientific Conference on Measurement Systems in Research and in Industry (MS 2020), 49 (2020)
(ebalance plus)

(25) Generic Energy Production Model for Smart Grid Emulation
M. Krysik, R. Rybski, K. Piotrowski
Proc. 13th Scientific Conference on Measurement Systems in Research and in Industry (MS 2020), 49 (2020)
(SmartGrid Plattform)

(26) Generic Energy Production Model for Smart Grid Emulation
M. Krysik, R. Rybski, K. Piotrowski
Systemy Pomiarowe w teorii i w praktyce / Red. R. Rybski, Uni Zielonogorski, 107 (2020)
(ebalance plus)

(27) Generic Energy Production Model for Smart Grid Emulation
M. Krysik, R. Rybski, K. Piotrowski
Systemy Pomiarowe w teorii i w praktyce / Red. R. Rybski, Uni Zielonogorski, 107 (2020)
(SmartGrid Plattform)

(28) Challenges of Return-Oriented-Programming on the Xtensa Hardware Architecture
K. Lehniger, M. Aftowicz, P. Langendörfer, Z. Dyka
Proc. 23rd EUROMICRO Conference on Digital System Design (DSD 2020), 154 (2020)
DOI: 10.1109/DSD51259.2020.00034, (MORFEUS)

(29) Analysis of Communication Parameters for Chosen LP-WAN Standards
J. Maj, D. Eljasz, K. Piotrowski
Proc. 13th Conference on Measurement Systems in Research and in Industry (MS 2020), 57 (2020)
(AMMOD)

(30) Analysis of Communication Parameters for Chosen LP-WAN Standards
J. Maj, D. Eljasz, K. Piotrowski
Proc. 13th Conference on Measurement Systems in Research and in Industry (MS 2020), 57 (2020)
(SmartRiver)

(31) Flood Embankments Monitoring System
E. Michta, K. Piotrowski, P. Powroznik, R. Rybski, R. Szulim, U. Kolodziejczyk, J. Kostecki
Proc. 13th Conference on Measurement Systems in Research and in Industry (MS 2020), 65 (2020)
(SmartRiver)

(32) Flood Embankments Monitoring System
E. Michta, P. Powroznik, K. Piotrowski, R. Rybski, R. Szulim, U. Kolodziejczyk, J. Kostecki
Systemy Pomiarowe w teorii i w praktyce / Red. R. Rybski, Uni Zielologorski, 139 (2020)
(SmartRiver)

(33) Resilience Aspects in Distributed Wireless Electroencephalographic Sampling
R. Natarov, O. Sudakov, Z. Dyka, I. Kabin, O. Maksymyuk, O. Iegorova, O. Krishtal, P. Langendörfer
Proc. 8th International Conference on Cyber-Physical Systems and Internet-of-Things (CPS & IoT 2020), 116 (2020)
(Total Resilience)

(34) Artefacts in EEG Signals Epileptic Seizure Prediction using Edge Devices
R. Natarov, Z. Dyka, R. Bohovyk, M. Fedoriuk, D. Isaev, O. Sudakov, O. Maximyuk, O. Krishtal, P. Langendörfer
Proc. 8th International Conference on Cyber-Physical Systems and Internet-of-Things (CPS & IoT 2020), 768 (2020)
(Total Resilience)

(35) Metal Fillers as Potential Low Cost Countermeasure against Optical Fault Injection Attacks
D. Petryk, Z. Dyka, J. Katzer, P. Langendörfer
Proc. 18th IEEE East-West Design & Test Symposium (EWDTS 2020), 125 (2020)
DOI: 10.1109/EWDTS50664.2020.9225092, (RESCUE)

(36) Evaluation of the Sensitivity of RRAM Cells to Optical Fault Injection Attacks
D. Petryk, Z. Dyka, E. Perez, M.K. Mahadevaiah, I. Kabin, Ch. Wenger, P. Langendörfer
Proc. 23rd EUROMICRO Conference on Digital System Design (DSD 2020), Special Session: Architecture and Hardware for Security Applications (AHSA), 238 (2020)
DOI: 10.1109/DSD51259.2020.00047, (RESCUE)

(37) Sensitivity of Standard Library Cells to Optical Fault Injection Attacks in IHP 250 nm Technology
D. Petryk, Z. Dyka, P. Langendörfer
Proc. 9th Mediterranean Conference on Embedded Computing (MECO 2020), 133 (2020)
DOI: 10.1109/MECO49872.2020.9134146, (RESCUE)

(38) Mobile Application to Support Maintenance of Wireless Sensor Networks
K. Piotrowski, I. Koropiecki, P. Zielony, P. Powroznik, R. Szulim
Proc. 13th Conference on Measurement Systems in Research and in Industry (MS 2020), 81 (2020)
(SmartRiver)

(39) Mobile Application to Support Maintenance of Wireless Sensor Networks
K. Piotrowski, I. Koropiecki, P. Zielony, P. Powroznik, R. Szulim
Proc. 13th Conference on Measurement Systems in Research and in Industry (MS 2020), 81 (2020)
(AMMOD)

(40) Low-Power Artificial Intelligence Based Sensors for Wireless Sensor Network Applications
K. Turchan, E. Michta, K. Piotrowski
Proc. 13th Conference on Measurement Systems in Research and in Industry (MS 2020), 105 (2020)
(SmartRiver)

(41) Low-Power Artificial Intelligence Based Sensors for Wireless Sensor Network Applications
K. Turchan, E. Michta, K. Piotrowski
Proc. 13th Conference on Measurement Systems in Research and in Industry (MS 2020), 105 (2020)
(AMMOD)

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