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Detecting Illegal Online Gambling (IOG) Services in the Mobile Environment
Author(s) -
Moohong Min,
Jemin Justin Lee,
Kyungho Lee
Publication year - 2022
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0122
pISSN - 1939-0114
DOI - 10.1155/2022/3286623
Subject(s) - government (linguistics) , computer security , computer science , internet privacy , task (project management) , order (exchange) , resource (disambiguation) , world wide web , business , engineering , computer network , philosophy , finance , linguistics , systems engineering
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.

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