Gast ::
| 001 | 959958 | ||
| 005 | 20240205150046.0 | ||
| 024 | 7 | _ | |2 ISBN |a 978-1-4503-9829-9 |
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| 024 | 7 | _ | |2 WOS |a WOS:001124185500018 |
| 024 | 7 | _ | |2 datacite_doi |a 10.18154/RWTH-2023-05957 |
| 024 | 7 | _ | |2 doi |a 10.1145/3590777.3590795 |
| 037 | _ | _ | |a RWTH-2023-05957 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-82)IDM05760 |a Nitz, Lasse Martin |b 0 |e Corresponding author |u rwth |
| 111 | 2 | _ | |a European Interdisciplinary Cybersecurity Conference |c Stavanger |d 2023-06-14 - 2023-06-15 |g EICC 2023 |w Norway |
| 245 | _ | _ | |a DGA Detection Using Similarity-Preserving Bloom Encodings |h online |
| 260 | _ | _ | |a New York,NY,United States |b Association for Computing Machinery |c 2023 |
| 295 | 1 | 0 | |a Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference / Edited by Aleksandra Mileva, Steffen Wendzel, Virginia Franqueira |
| 300 | _ | _ | |a 116-120 |
| 336 | 7 | _ | |0 33 |2 EndNote |a Conference Paper |
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| 536 | _ | _ | |0 G:(EU-Grant)833418 |a SAPPAN - Sharing and Automation for Privacy Preserving Attack Neutralization (833418) |c 833418 |f H2020-SU-ICT-2018 |x 0 |
| 536 | _ | _ | |0 G:(EU-Grant)101020560 |a CyberSEAS - CyberSEAS: Cyber Securing Energy dAta Services (101020560) |c 101020560 |f H2020-SU-DS-2020 |x 1 |
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| 591 | _ | _ | |a Germany |
| 653 | _ | 7 | |a Bloom encoding |
| 653 | _ | 7 | |a DGA detection |
| 653 | _ | 7 | |a cybersecurity |
| 653 | _ | 7 | |a machine learning |
| 653 | _ | 7 | |a privacy |
| 653 | _ | 7 | |a privacy-preserving data publishing |
| 653 | _ | 7 | |a sanitization |
| 700 | 1 | _ | |0 0000-0002-8641-7207 |a Mandal, Avikarsha |b 1 |e Corresponding author |
| 856 | 4 | _ | |u https://publications.rwth-aachen.de/record/959958/files/959958.pdf |y OpenAccess |
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| 914 | 1 | _ | |y 2023 |
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