A Survey of IPv6 Address Scanning Technologies

Due to the huge network address space of IPv6, the overhead of IPv6 space detection is very large. Thus, how to improve the detection efficiency is a hot research topic. Firstly, the basic process of IPv6 network space detection is illustrated, and then the detection algorithms are categorized into two primary categories: optimization scanning-based detection algorithms and address generation-based detection algorithms. According to the timelines proposed by the algorithms, the ideas of these algorithms are discussed separately. Finally, a comprehensive comparison and analysis of these detection algorithms are conducted from multiple dimensions. Future research directions are discussed, including: collection of active IPv6 addresses and allocation patterns, discovery of IPv6 address detection patterns based on machine learning, improvement of the detection response rate, and moral issues caused by network detection.

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Published
2025-08-25
DOI
https://doi.org/10.3390/info16090727
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

A Survey of IPv6 Address Scanning Technologies

Liquan Chen, Yang Ma, Zhanfeng Wang
Information
Network Security and Intrusion Detection
article

A Survey of IPv6 Address Scanning Technologies

Liquan Chen, Yang Ma, Zhanfeng Wang
article en

Abstract

Due to the huge network address space of IPv6, the overhead of IPv6 space detection is very large. Thus, how to improve the detection efficiency is a hot research topic. Firstly, the basic process of IPv6 network space detection is illustrated, and then the detection algorithms are categorized into two primary categories: optimization scanning-based detection algorithms and address generation-based detection algorithms. According to the timelines proposed by the algorithms, the ideas of these algorithms are discussed separately. Finally, a comprehensive comparison and analysis of these detection algorithms are conducted from multiple dimensions. Future research directions are discussed, including: collection of active IPv6 addresses and allocation patterns, discovery of IPv6 address detection patterns based on machine learning, improvement of the detection response rate, and moral issues caused by network detection.

InformationVol. 16(9)
Nanjing Institute of Technology (CN), Southeast University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, National Key Research and Development Program of China
Openalex Percentile: Top 75%
Network Security and Intrusion Detection
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