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    <id>27343</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
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    <language>eng</language>
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    <pageLast/>
    <pageNumber>7</pageNumber>
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    <type>articler</type>
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    <contributingCorporation>IEEE</contributingCorporation>
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    <completedDate>2021-04-28</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Resilience Aspects in Distributed Wireless Electroencephalographic Sampling</title>
    <parentTitle language="eng">2020 9th Mediterranean Conference on Embedded Computing (MECO)</parentTitle>
    <identifier type="doi">10.1109/MECO49872.2020.9134157</identifier>
    <identifier type="isbn">978-1-7281-6949-1</identifier>
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    <author>
      <firstName>Roman</firstName>
      <lastName>Natarov</lastName>
    </author>
    <submitter>
      <firstName>Kathleen</firstName>
      <lastName>Galke</lastName>
    </submitter>
    <author>
      <firstName>Oleksandr</firstName>
      <lastName>Sudakov</lastName>
    </author>
    <author>
      <firstName>Zoya</firstName>
      <lastName>Dyka</lastName>
    </author>
    <author>
      <firstName>Ievgen</firstName>
      <lastName>Kabin</lastName>
    </author>
    <author>
      <firstName>O.</firstName>
      <lastName>Maksymyuk</lastName>
    </author>
    <author>
      <firstName>O.</firstName>
      <lastName>Iegorova</lastName>
    </author>
    <author>
      <firstName>Oleg A.</firstName>
      <lastName>Krishtal</lastName>
    </author>
    <author>
      <firstName>Peter</firstName>
      <lastName>Langendörfer</lastName>
    </author>
    <collection role="institutes" number="1221H01">FG Verteilte Messsysteme und Sensornetzwerke</collection>
  </doc>
  <doc>
    <id>27345</id>
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    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
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    <completedDate>2021-04-28</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Evaluation of the Sensitivity of RRAM Cells to Optical Fault Injection Attacks</title>
    <parentTitle language="eng">EUROMICRO Conference on Digital System Design (DSD 2020), Special Session: Architecture and Hardware for Security Applications (AHSA)</parentTitle>
    <identifier type="doi">10.1109/DSD51259.2020.00047</identifier>
    <identifier type="isbn">978-1-7281-9535-3</identifier>
    <identifier type="issn">978-1-7281-9536-0</identifier>
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    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <author>
      <firstName>Dmytro</firstName>
      <lastName>Petryk</lastName>
    </author>
    <submitter>
      <firstName>Kathleen</firstName>
      <lastName>Galke</lastName>
    </submitter>
    <author>
      <firstName>Zoya</firstName>
      <lastName>Dyka</lastName>
    </author>
    <author>
      <firstName>Eduardo</firstName>
      <lastName>Pérez</lastName>
    </author>
    <author>
      <firstName>Mamathamba Kalishettyhalli</firstName>
      <lastName>Mahadevaiah</lastName>
    </author>
    <author>
      <firstName>Ievgen</firstName>
      <lastName>Kabin</lastName>
    </author>
    <author>
      <firstName>Christian</firstName>
      <lastName>Wenger</lastName>
    </author>
    <author>
      <firstName>Peter</firstName>
      <lastName>Langendörfer</lastName>
    </author>
    <collection role="institutes" number="1221H01">FG Verteilte Messsysteme und Sensornetzwerke</collection>
  </doc>
  <doc>
    <id>27346</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>5</pageNumber>
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    <completedDate>2021-04-28</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">No Resilience without Security</title>
    <parentTitle language="eng">International Conference on Cyber-Physical Systems and Internet-of-Things (CPS &amp;amp; IoT 2020)</parentTitle>
    <identifier type="doi">10.1109/MECO49872.2020.9134179</identifier>
    <identifier type="isbn">978-1-7281-6949-1</identifier>
    <identifier type="isbn">978-1-7281-6950-7</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <author>
      <firstName>Zoya</firstName>
      <lastName>Dyka</lastName>
    </author>
    <submitter>
      <firstName>Kathleen</firstName>
      <lastName>Galke</lastName>
    </submitter>
    <author>
      <firstName>Elisabeth</firstName>
      <lastName>Vogel</lastName>
    </author>
    <author>
      <firstName>Ievgen</firstName>
      <lastName>Kabin</lastName>
    </author>
    <author>
      <firstName>Dan</firstName>
      <lastName>Klann</lastName>
    </author>
    <author>
      <firstName>Oxana</firstName>
      <lastName>Shamilyan</lastName>
    </author>
    <author>
      <firstName>Peter</firstName>
      <lastName>Langendörfer</lastName>
    </author>
    <collection role="institutes" number="1221H01">FG Verteilte Messsysteme und Sensornetzwerke</collection>
  </doc>
  <doc>
    <id>30302</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-02-06</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Fast Dual-Field ECDSA Accelerator with Increased Resistance against Horizontal SCA Attacks</title>
    <parentTitle language="eng">2021 IEEE International Conference on Cyber Security and Resilience (CSR)</parentTitle>
    <identifier type="isbn">978-1-6654-0285-9</identifier>
    <identifier type="doi">10.1109/CSR51186.2021.9527912</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
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    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <author>
      <firstName>Ievgen</firstName>
      <lastName>Kabin</lastName>
    </author>
    <submitter>
      <firstName>Elisabeth</firstName>
      <lastName>Vogel</lastName>
    </submitter>
    <author>
      <firstName>Dan</firstName>
      <lastName>Klann</lastName>
    </author>
    <author>
      <firstName>Zoya</firstName>
      <lastName>Dyka</lastName>
    </author>
    <author>
      <firstName>Peter</firstName>
      <lastName>Langendörfer</lastName>
    </author>
    <collection role="institutes" number="1222">FG Systeme</collection>
  </doc>
  <doc>
    <id>30303</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
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    <publisherName/>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-02-06</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Octopuses: Biological Facts and Technical Solutions</title>
    <parentTitle language="eng">2021 10th Mediterranean Conference on Embedded Computing (MECO)</parentTitle>
    <identifier type="isbn">978-1-6654-2989-4</identifier>
    <identifier type="issn">2637-9511</identifier>
    <identifier type="doi">10.1109/MECO52532.2021.9459727</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <author>
      <firstName>Oxana</firstName>
      <lastName>Shamilyan</lastName>
    </author>
    <submitter>
      <firstName>Elisabeth</firstName>
      <lastName>Vogel</lastName>
    </submitter>
    <author>
      <firstName>Ievgen</firstName>
      <lastName>Kabin</lastName>
    </author>
    <author>
      <firstName>Zoya</firstName>
      <lastName>Dyka</lastName>
    </author>
    <author>
      <firstName>Michael</firstName>
      <lastName>Kuba</lastName>
    </author>
    <author>
      <firstName>Peter</firstName>
      <lastName>Langendörfer</lastName>
    </author>
    <collection role="institutes" number="1222">FG Systeme</collection>
  </doc>
  <doc>
    <id>32634</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>60988</pageFirst>
    <pageLast>61003</pageLast>
    <pageNumber/>
    <edition/>
    <issue>11</issue>
    <volume/>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-01-26</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Intelligence and Motion Models of Continuum Robots: an Overview</title>
    <abstract language="eng">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.</abstract>
    <parentTitle language="eng">IEEE Access</parentTitle>
    <identifier type="doi">10.1109/ACCESS.2023.3286300</identifier>
    <identifier type="issn">2169-3536</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <author>
      <firstName>Oxana</firstName>
      <lastName>Shamilyan</lastName>
    </author>
    <submitter>
      <firstName>Elisabeth</firstName>
      <lastName>Vogel</lastName>
    </submitter>
    <author>
      <firstName>Ievgen</firstName>
      <lastName>Kabin</lastName>
    </author>
    <author>
      <firstName>Zoya</firstName>
      <lastName>Dyka</lastName>
    </author>
    <author>
      <firstName>Oleksandr</firstName>
      <lastName>Sudakov</lastName>
    </author>
    <author>
      <firstName>Andrii</firstName>
      <lastName>Cherninskyi</lastName>
    </author>
    <author>
      <firstName>Marcin</firstName>
      <lastName>Brzozowski</lastName>
    </author>
    <author>
      <firstName>Peter</firstName>
      <lastName>Langendörfer</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Robots</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Artificial intelligence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Resilience</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Continuum robots</value>
    </subject>
    <collection role="institutes" number="1222">FG Systeme</collection>
  </doc>
  <doc>
    <id>32603</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>4</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject_ref</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-01-24</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Vulnerability of Atomic Patterns to Simple SCA</title>
    <abstract language="eng">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.</abstract>
    <parentTitle language="eng">19th IEEE East-West Design &amp; Test Symposium (EWDTS 2023), (2023)</parentTitle>
    <identifier type="isbn">979-8-3503-1484-7</identifier>
    <identifier type="issn">2472-761X</identifier>
    <identifier type="doi">10.1109/EWDTS59469.2023.10297074</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
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    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <author>
      <firstName>Ievgen</firstName>
      <lastName>Kabin</lastName>
    </author>
    <submitter>
      <firstName>Elisabeth</firstName>
      <lastName>Vogel</lastName>
    </submitter>
    <author>
      <firstName>Peter</firstName>
      <lastName>Langendörfer</lastName>
    </author>
    <author>
      <firstName>Zoya</firstName>
      <lastName>Dyka</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Elliptic curves</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>NIST</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Elliptic curve cryptography</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Atomicity principle</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Side-channel Analysis (SCA)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Simple Power Analysis (SPA)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Horizontal attacks</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Address-bit attacks</value>
    </subject>
    <collection role="institutes" number="1222">FG Systeme</collection>
  </doc>
  <doc>
    <id>32614</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>6</pageNumber>
    <edition/>
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    <type>conferenceobject_ref</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-01-24</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Successful Simple Side Channel Analysis: Vulnerability of an Atomic Pattern kP Algorithm Implemented with a Constant Time Crypto Library to Simple Electromagnetic Analysis Attacks</title>
    <parentTitle language="eng">12th Mediterranean Conference on Embedded Computing (MECO 2023), 167 (2023)</parentTitle>
    <identifier type="doi">10.1109/MECO58584.2023.10154940</identifier>
    <identifier type="isbn">979-8-3503-2291-0</identifier>
    <identifier type="isbn">979-8-3503-2290-3</identifier>
    <identifier type="issn">2637-9511</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
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    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <author>
      <firstName>Alkistis</firstName>
      <lastName>Sigourou</lastName>
    </author>
    <submitter>
      <firstName>Elisabeth</firstName>
      <lastName>Vogel</lastName>
    </submitter>
    <author>
      <firstName>Ievgen</firstName>
      <lastName>Kabin</lastName>
    </author>
    <author>
      <firstName>Peter</firstName>
      <lastName>Langendörfer</lastName>
    </author>
    <author>
      <firstName>Nicolas</firstName>
      <lastName>Sklavos</lastName>
    </author>
    <author>
      <firstName>Zoya</firstName>
      <lastName>Dyka</lastName>
    </author>
    <collection role="institutes" number="1222">FG Systeme</collection>
  </doc>
  <doc>
    <id>32615</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>6</pageNumber>
    <edition/>
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    <publisherName/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-01-24</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Randomized Addressing Countermeasures are Inefficient against Address-Bit SCA</title>
    <parentTitle language="eng">IEEE International Conference on Cyber Security and Resilience (CSR 2023), 580 (2023)</parentTitle>
    <identifier type="doi">10.1109/CSR57506.2023.10224968</identifier>
    <identifier type="isbn">979-8-3503-1170-9</identifier>
    <identifier type="isbn">979-8-3503-1171-6</identifier>
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    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <author>
      <firstName>Ievgen</firstName>
      <lastName>Kabin</lastName>
    </author>
    <submitter>
      <firstName>Elisabeth</firstName>
      <lastName>Vogel</lastName>
    </submitter>
    <author>
      <firstName>Zoya</firstName>
      <lastName>Dyka</lastName>
    </author>
    <author>
      <firstName>Peter</firstName>
      <lastName>Langendörfer</lastName>
    </author>
    <collection role="institutes" number="1222">FG Systeme</collection>
  </doc>
  <doc>
    <id>33393</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>16</volume>
    <type>articler</type>
    <publisherName/>
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    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-01-29</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Non-Profiled Unsupervised Horizontal Iterative Attack against Hardware Elliptic Curve Scalar Multiplication Using Machine Learning</title>
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      <value>horizontal attack</value>
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      <value>non-profiled attack</value>
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    <parentTitle language="eng">Proc. 32. Crypto-Day Matters 2021, (2021)</parentTitle>
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    <title language="eng">Efficient Implementation of Unified ECC Accelerators based on the Karatsuba Multiplication Method</title>
    <parentTitle language="eng">Proc. 32. Crypto-Day Matters 2021, (2021)</parentTitle>
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    <title language="eng">Extended Horizontal SCA Attack using Clustering Algorithm</title>
    <parentTitle language="eng">Proc. 32. Crypto-Day Matters 2021, (2021)</parentTitle>
    <identifier type="doi">10.18420/cdm-2021-32-25</identifier>
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    <title language="eng">FFT based Horizontal SCA Attack against ECC</title>
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    <title language="eng">Resistance of the Montgomery Ladder against Simple SCA: Theory and Practice</title>
    <parentTitle language="eng">Journal of Electronic Testing</parentTitle>
    <identifier type="doi">10.1007/s10836-021-05951-3</identifier>
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    <author>
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    <title language="eng">Sensitivity of HfO2-based RRAM Cells to Laser Irradiation</title>
    <parentTitle language="eng">Microprocessors and Microsystems</parentTitle>
    <identifier type="issn">0141-9331</identifier>
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    <author>
      <firstName>Dmytro</firstName>
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      <firstName>Eduardo</firstName>
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      <firstName>Jens</firstName>
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      <firstName>Jan</firstName>
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    <title language="eng">On the Complexity of Attacking Commercial Authentication Products</title>
    <parentTitle language="eng">Microprocessors and Microsystems</parentTitle>
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    <identifier type="doi">10.1016/j.micpro.2020.103480</identifier>
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    <title language="eng">Atomicity and Regularity Principles do not Ensure Full Resistance of ECC Designs against Single-Trace Attacks</title>
    <parentTitle language="eng">Sensors</parentTitle>
    <identifier type="doi">10.3390/s22083083</identifier>
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      <firstName>Zoya</firstName>
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      <firstName>Elisabeth</firstName>
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      <firstName>Ievgen</firstName>
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      <firstName>Marcin</firstName>
      <lastName>Brzozowski</lastName>
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      <firstName>Goran</firstName>
      <lastName>Panic</lastName>
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    <author>
      <firstName>Cristiano</firstName>
      <lastName>Calligaro</lastName>
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      <firstName>Milos</firstName>
      <lastName>Krstic</lastName>
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      <firstName>Peter</firstName>
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    <title language="eng">Distributed Artificial Intelligence as a Means to Achieve Self-X-Functions for Increasing Resilience: the First Steps</title>
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      <firstName>Oxana</firstName>
      <lastName>Shamilyan</lastName>
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      <firstName>Elisabeth</firstName>
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      <firstName>Ievgen</firstName>
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      <firstName>Zoya</firstName>
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    <title language="eng">Resilient movement planning for continuum robots</title>
    <abstract language="eng">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.</abstract>
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    <identifier type="url">https://modem2024.vub.ac.be/papers/MODeM2024_paper_3.pdf</identifier>
    <identifier type="doi">10.48550/arXiv.2404.06178</identifier>
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    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>
      <firstName>Oxana</firstName>
      <lastName>Shamilyan</lastName>
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      <firstName>Vogel</firstName>
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      <firstName>Ievgen</firstName>
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      <firstName>Zoya</firstName>
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    <volume>13</volume>
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    <publisherName>Institute of Electrical and Electronics Engineers (IEEE)</publisherName>
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    <title language="eng">Classification of epileptic seizures by simple machine learning techniques : application to animals’ electroencephalography signals</title>
    <abstract language="eng">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.</abstract>
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    <author>
      <firstName>Illia</firstName>
      <lastName>Pidvalnyi</lastName>
    </author>
    <submitter>
      <firstName>Pavlo</firstName>
      <lastName>Mykytyn</lastName>
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    <author>
      <firstName>Anna</firstName>
      <lastName>Kostenko</lastName>
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      <firstName>Oleksandr</firstName>
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      <lastName>Isaev</lastName>
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      <lastName>Kabin</lastName>
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      <lastName>Ortmann</lastName>
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    <author>
      <firstName>Peter</firstName>
      <lastName>Langendörfer</lastName>
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      <value>Automated system</value>
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    <subject>
      <language>eng</language>
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      <value>Rats</value>
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