ZeekFlow: Deep Learning-Based Network Intrusion Detection a Multimodal Approach-Reference-Cited by-同舟云学术

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ZeekFlow: Deep Learning-Based Network Intrusion Detection a Multimodal Approach

Published:2024 Issue: Volume: Page:409-425
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Giagkos Dimitrios^ORCID,Kompougias Orestis^ORCID,Litke Antonis^ORCID,Papadakis Nikolaos^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-54129-2_24

Reference32 articles.

1. 2022 official cybercrime report. https://www.esentire.com/resources/library/2022-official-cybercrime-report

2. Digital 2023: Global overview report. https://datareportal.com/reports/digital-2023-global-overview-report

3. DoHBrw 2020 | Datasets | Research | Canadian Institute for Cybersecurity | UNB – unb.ca. https://www.unb.ca/cic/datasets/dohbrw-2020.html Accessed 15 Jun 2023

4. IDS 2017 | Datasets | Research | Canadian Institute for Cybersecurity | UNB – unb.ca. https://www.unb.ca/cic/datasets/ids-2017.html Accessed 14 Jun 2023

5. tcpdump(1) man page | TCPDUMP & LIBPCAP – tcpdump.org. https://www.tcpdump.org/manpages/tcpdump.1.html Accessed 12 Jun 2023

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