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    Hou Bingnan, Liu Ning, Li Xionglüe, Zhou Tongqing, Chen Yingwen, Cai Zhiping, Lu Kai. Survey on Target Generated IPv6 Network Address Scanning[J]. Journal of Computer Research and Development. DOI: 10.7544/issn1000-1239.202330335
    Citation: Hou Bingnan, Liu Ning, Li Xionglüe, Zhou Tongqing, Chen Yingwen, Cai Zhiping, Lu Kai. Survey on Target Generated IPv6 Network Address Scanning[J]. Journal of Computer Research and Development. DOI: 10.7544/issn1000-1239.202330335

    Survey on Target Generated IPv6 Network Address Scanning

    • With the rapid evolution of IPv6 in recent years, the significance of IPv6 network measurement and security analysis has grown substantially. Obtaining a substantial number of active IPv6 addresses has become a fundamental and critical task in this domain. However, the sheer size of the IPv6 address space and the sparsely distributed nature of active hosts present challenges that render brute-force scanning tools, such as ZMap and Masscan. While ZMap can scan the entire IPv4 network in just 5 minutes with a 10-gigabit bandwidth, it would take hundreds of millions of years to scan the entire IPv6 network using similar methods. In response to this challenge and in a bid to enhance the efficiency of IPv6-wide scans, researchers have introduced a series of innovative search strategies tailored to IPv6 scans. These strategies aim to enhance the ability to discover assets and mitigate risks within the IPv6 network. This study undertakes the task of categorizing, organizing, and summarizing the target generation-based scanning approaches proposed by researchers in this field. We conduct a comprehensive analysis, comparing the hit rate, marginal benefit, and time costs of state-of-the-art solutions through real-network scan experiments. Furthermore, we provide valuable insights into the current landscape and emerging trends in IPv6 target generation scanning techniques. By doing so, we contribute to a deeper understanding of IPv6 network analysis and security, ultimately fostering advancements in this critical area of networking research.
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