A scalable network event detection framework for darknet traffic-Reference-Cited by-同舟云学术

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A scalable network event detection framework for darknet traffic

Published:2022-10-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd ACM Internet Measurement Conference
language:
Short-container-title:

Author:

Gao Max¹,Mok Ricky K. P.²

Affiliation:

1. CAIDA/UC San Diego

2. kc claffy

Funder

NSF

Amateur Radio Digital Communications

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3517745.3563015

Reference12 articles.

1. 2012. Corsaro. https://catalog.caida.org/media/2012_dust_corsaro. 2012. Corsaro. https://catalog.caida.org/media/2012_dust_corsaro.

2. Shane Alcock . 2021 . Flowtuples IV: Reality Strikes Back. https://catalog.caida.org/media/2021_flowtuples_iv_dust. Shane Alcock. 2021. Flowtuples IV: Reality Strikes Back. https://catalog.caida.org/media/2021_flowtuples_iv_dust.

3. Errata for: Estimating internet address space usage through passive measurements (SIGCOMM CCR (Vol. 44, Issue 1, January, 2014)

4. Analysis of a "/0" stealth scan from a botnet

5. HyperLogLog in practice

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DarkMor: A framework for darknet traffic detection that integrates local and spatial features;Neurocomputing;2024-11

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