Detecting Illegal Online Gambling (IOG) Services in the Mobile Environment

Moohong Min, Jemin J. Lee, Kyungho Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Despite the extensive ramifications of illegal online gambling (IOG) services, actions taken by government authorities have had little effect in halting these operations. In order to reduce the prevalence of IOG, the ability to detect malicious uniform resource locators (URLs) is crucial. Text mining and binary classification have been widely adopted to detect and prevent spam short message services (SMSs), but government authorities and various task forces that monitor and regulate gambling also rely on the analysis of malicious URLs. This study proposes a novel system to analyse the characteristics of spam URLs, offering a method that can assist government agencies combatting mobile IOG sites.

Original languageEnglish
Article number3286623
JournalSecurity and Communication Networks
Volume2022
DOIs
Publication statusPublished - 2022

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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