Year: 2025
Type: article
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.
Source: Information
DOI: 10.3390/info16090727
Authors: Yang Ma, Liquan Chen, Zhanfeng Wang
Institution: Southeast University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,930
Awards: G2259478128, G3324857077, G5300155502
OpenAlex ID: W4413722003