Domain registration date retrieval system for improving spam mail discrimination

Nariyoshi Yamai, Masayuki Matsuoka, Kiyohiko Okayama, Keita Kawano, Motonori Nakamura, Masato Minda

Research output: Contribution to journalArticle

Abstract

Recently, many spam mails associated with "One-click fraud," "Phishing," and so on have been sent to unspecified large number of e-mail users. According to some previous works, most spam mails contained some URLs whose domains were registered relatively recently, such that the age of the domain used in the URL in the messages would be a good criterion for spam mail discrimination. However, it is difficult to obtain the age or the registration date of a specific domain for each message by WHOIS service since most WHOIS services would block frequent queries. In this paper, we propose a domain registration date retrieval system, which updates zone files of some Top Level Domains (TLDs) every day, keeps track of the registration date for new domains, and works as a DNS server that replys with the registration date of the queried domain. According to the performance evaluation, the prototype system could update the registration date for all the domains of "com" TLD in two hours.

Original languageEnglish
Pages (from-to)480-485
Number of pages6
JournalJournal of Information Processing
Volume22
Issue number3
DOIs
Publication statusPublished - 2014

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Keywords

  • DNS
  • Domain
  • E-mail
  • Spam
  • Whois

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Domain registration date retrieval system for improving spam mail discrimination. / Yamai, Nariyoshi; Matsuoka, Masayuki; Okayama, Kiyohiko; Kawano, Keita; Nakamura, Motonori; Minda, Masato.

In: Journal of Information Processing, Vol. 22, No. 3, 2014, p. 480-485.

Research output: Contribution to journalArticle

Yamai, Nariyoshi ; Matsuoka, Masayuki ; Okayama, Kiyohiko ; Kawano, Keita ; Nakamura, Motonori ; Minda, Masato. / Domain registration date retrieval system for improving spam mail discrimination. In: Journal of Information Processing. 2014 ; Vol. 22, No. 3. pp. 480-485.
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