Abstract
ICANN is an important non-profit international authority for global domain name management and IP address allocation. Its members come from all over the world, who are committed to ensuring the security, stability and resiliency of the Internet. A web crawler is a kind of the web robot which is a program used to automatically browse and analyze the specific web pages. Therefore, it could conveniently and quickly collect the required data in Internet through the web crawler program for subsequent analyses and researches. As the leader, ICANN is gaining more attention in the increasingly developed Internet. The regular announcements on ICANN’s official website are collected through the semi-automated python-based web crawler which is first designed and proposed in this paper. The hot topics in security issues will be analyzed via both the association rule and statistics technology, which are depended on a list of given keywords. After exploring the upsurges of various issues in the relative security issues or any information, the top 10 hot topics are “Security”, “ICANN”, “SSR”, “Stability”, “Public Comment”, “SSAC,” “DNS”, “DNS Marketplace”, “Technology”, and “DNSSEC”. The highest confidence degree within the association relationship statements regarding as security issues in ICANN website since 2000–2018 is “{Security} ⇨ SSR”. Therefore, the semi-automated python-based web crawler we designed and proposed could not only analyze the hot topic in the regular announcements of ICANN’s official website but also resolve the association relationship among the hot security topics through the association rule.
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