Deep learning for computational problems in hardware security: modeling attacks on strong physically unclonable function circuits
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer
[2023]
|
| Schriftenreihe: | Studies in computational intelligence
volume 1052 |
| Schlagworte: | |
| Beschreibung: | xiii, 84 Seiten Illustrationen, Diagramme |
| ISBN: | 9789811940163 |
| ISSN: | 1860-949X |
Internformat
MARC
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| 245 | 1 | 0 | |a Deep learning for computational problems in hardware security |b modeling attacks on strong physically unclonable function circuits |c Pranesh Santikellur, Rajat Subhra Chakraborty |
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Datensatz im Suchindex
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| author_facet | Santikellur, Pranesh Chakraborty, Rajat Subhra |
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| dewey-full | 621.3815 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3815 |
| dewey-search | 621.3815 |
| dewey-sort | 3621.3815 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik Maschinenbau |
| discipline_str_mv | Informatik Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik Maschinenbau |
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| id | DE-604.BV048556460 |
| illustrated | Illustrated |
| index_date | 2024-07-03T20:58:43Z |
| indexdate | 2024-12-12T15:01:32Z |
| institution | BVB |
| isbn | 9789811940163 |
| issn | 1860-949X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033932731 |
| oclc_num | 1350776142 |
| open_access_boolean | |
| owner | DE-11 |
| owner_facet | DE-11 |
| physical | xiii, 84 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spelling | Santikellur, Pranesh Verfasser aut Deep learning for computational problems in hardware security modeling attacks on strong physically unclonable function circuits Pranesh Santikellur, Rajat Subhra Chakraborty Singapore Springer [2023] © 2023 xiii, 84 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence volume 1052 1860-949X Electronic Circuits and Systems Artificial Intelligence Mathematics in Popular Science Special Purpose and Application-Based Systems Computer Science Electronic circuits Artificial intelligence Mathematics Computers, Special purpose Computer science Chakraborty, Rajat Subhra (DE-588)1060239728 aut Erscheint auch als Online-Ausgabe 978-981-1940-17-0 Studies in computational intelligence volume 1052 (DE-604)BV020822171 1052 |
| spellingShingle | Santikellur, Pranesh Chakraborty, Rajat Subhra Deep learning for computational problems in hardware security modeling attacks on strong physically unclonable function circuits Studies in computational intelligence Electronic Circuits and Systems Artificial Intelligence Mathematics in Popular Science Special Purpose and Application-Based Systems Computer Science Electronic circuits Artificial intelligence Mathematics Computers, Special purpose Computer science |
| title | Deep learning for computational problems in hardware security modeling attacks on strong physically unclonable function circuits |
| title_auth | Deep learning for computational problems in hardware security modeling attacks on strong physically unclonable function circuits |
| title_exact_search | Deep learning for computational problems in hardware security modeling attacks on strong physically unclonable function circuits |
| title_exact_search_txtP | Deep learning for computational problems in hardware security modeling attacks on strong physically unclonable function circuits |
| title_full | Deep learning for computational problems in hardware security modeling attacks on strong physically unclonable function circuits Pranesh Santikellur, Rajat Subhra Chakraborty |
| title_fullStr | Deep learning for computational problems in hardware security modeling attacks on strong physically unclonable function circuits Pranesh Santikellur, Rajat Subhra Chakraborty |
| title_full_unstemmed | Deep learning for computational problems in hardware security modeling attacks on strong physically unclonable function circuits Pranesh Santikellur, Rajat Subhra Chakraborty |
| title_short | Deep learning for computational problems in hardware security |
| title_sort | deep learning for computational problems in hardware security modeling attacks on strong physically unclonable function circuits |
| title_sub | modeling attacks on strong physically unclonable function circuits |
| topic | Electronic Circuits and Systems Artificial Intelligence Mathematics in Popular Science Special Purpose and Application-Based Systems Computer Science Electronic circuits Artificial intelligence Mathematics Computers, Special purpose Computer science |
| topic_facet | Electronic Circuits and Systems Artificial Intelligence Mathematics in Popular Science Special Purpose and Application-Based Systems Computer Science Electronic circuits Artificial intelligence Mathematics Computers, Special purpose Computer science |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT santikellurpranesh deeplearningforcomputationalproblemsinhardwaresecuritymodelingattacksonstrongphysicallyunclonablefunctioncircuits AT chakrabortyrajatsubhra deeplearningforcomputationalproblemsinhardwaresecuritymodelingattacksonstrongphysicallyunclonablefunctioncircuits |