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.
Highlights
Despite the gambling market being one of the most regulated industries around the world, recent advancements in telecommunication technology have allowed illegal gambling to flourish online [1,2,3]
Spam messages containing the term “gamble” are illegal in South Korea, where all accredited legal gambling is operated by the government, but they remain a common tool for illegal online gambling (IOG) platforms
We propose a system for classifying messages based on the characteristics identified earlier and extracting and converting IOG uniform resource locators (URLs)
Summary
Despite the gambling market being one of the most regulated industries around the world, recent advancements in telecommunication technology have allowed illegal gambling to flourish online [1,2,3]. As a result of our investigation, we suggest technologies to identify illegal gambling SMSs from reported spam and extract URL information from illegal gambling websites We believe that this method represents a considerable contribution toward automating the process of classifying and blocking illegal sites, helping to keep our online environment safer. Spam messages containing the term “gamble” are illegal in South Korea, where all accredited legal gambling is operated by the government, but they remain a common tool for IOG platforms. Our own previous study on illegal gambling utilized a readable transformation technique (RTT) [39]
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