Modern NetFlow network dataset with labeled attacks and detection methods-Reference-Cited by-同舟云学术

Modern NetFlow network dataset with labeled attacks and detection methods

Published:2023-08-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th International Conference on Availability, Reliability and Security
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Author:

Komisarek Mikołaj¹^ORCID,Pawlicki Marek²^ORCID,Simic Tomi³^ORCID,Kavcnik David³^ORCID,Kozik Rafał⁴^ORCID,Choraś Michał⁴^ORCID

Affiliation:

1. ITTI Sp. z o.o., Poland

2. ITTI Sp. z o.o., Poland and Institute of Telecommunications, Bydgoszcz University of Science and Technology, Poland

3. Telprom, informacijske tehnologije d.o.o., Slovenia

4. Institute of Telecommunications, Bydgoszcz University of Science and Technology, Poland and ITTI Sp. z o.o., Poland

Funder

H2020 Security

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600160.3605094

Reference37 articles.

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2. Examining the Suitability of NetFlow Features in Detecting IoT Network Intrusions

3. CNN Business. 2022. Ransomware attacks increase in frequency and severity. https://www.cnn.com/2022/03/15/tech/ransomware-attacks-increase/index.html CNN Business. 2022. Ransomware attacks increase in frequency and severity. https://www.cnn.com/2022/03/15/tech/ransomware-attacks-increase/index.html

4. Flow-Data Gathering Using NetFlow Sensors for Fitting Malicious-Traffic Detection Models

5. Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection

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