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Internet Scan Source Identification: A Survey

delete2025-05-27
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PRE
AI
董
董恩焕 (Dong, Enhuan)
杨家海 封面图
杨家海 (Jiahai Yang)
王
王之梁 (Zhiliang Wang)
X
Xin He
J
Jie Fang
S
Shenao Li
S
Supei Zhang
Z
Zeyuan Guo
张慧 封面图
张慧 (Hui Zhang)
Z
Zimu Li
X
Xiaoming Fu
DOI:10.1109/MNET.2025.3574126delete
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摘要

摘要

En 中文
Recently, Internet scanning activities have increased significantly, while the purposes and impacts of these scans have grown increasingly complex. Organizations dedicated to enhancing Internet security, as well as malicious ones, both conduct frequent and systematic scans across the entire IPv4 address space and partial IPv6 address space. In this context, the scan source identification, on which scan intelligence relies, is crucial as it supports in-depth analysis of the scanning behavior of organizations and helps uncover the real identity and size of potential attack organizations. In this article, we provide an extensive survey on Internet scan source identification. We summarize the common methodology and propose a taxonomy for classification. Based on this taxonomy, we outline the current state of Internet scan source identification research. Furthermore, we identify existing challenges and suggest future directions in this field.
Keyword:
Monitoring
Dark Web
IP networks
Internet
Telescopes
Surveys
Firewalls (computing)
Cloud computing
Servers

期刊

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IEEE Network
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6.3
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2.7K
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1.1W

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beijing university of posts and telecommunications
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2.3K
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tsinghua university
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Tsinghua University
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8.6K
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university of gottingen
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950
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