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

Authors
Min, MoohongLee, Jemin J.Lee, Kyungho
Issue Date
23-2월-2022
Publisher
WILEY-HINDAWI
Citation
SECURITY AND COMMUNICATION NETWORKS, v.2022
Indexed
SCIE
SCOPUS
Journal Title
SECURITY AND COMMUNICATION NETWORKS
Volume
2022
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/140289
DOI
10.1155/2022/3286623
ISSN
1939-0114
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.
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