TY - GEN
T1 - Honeypot system for automatic reporting of illegal online gambling sites utilizing SMS Spam
AU - Min, Moohong
AU - Lee, Jemin Justin
AU - Park, Hyunbeom
AU - Lee, Kyungho
N1 - Funding Information:
ACKNOWLEDGMENT This research was supported by the Korea Racing Authority and the Korea Internet & Security Agency.
Publisher Copyright:
© 2021 TSI Enterprises.
PY - 2021/8/1
Y1 - 2021/8/1
N2 - The emergence of illegal online gambling (IOG) has led to an increase in gambling addiction and threats to cyber security. Since IOG is advertised through short message service (SMS), we propose a novel system to detect and extract uniform resource locator (URL) information from SMS spam. For majority of the cases, these URLs are not directly linked to a real website address, which causes difficulties for detection systems. In order to address this problem, we utilized a readable transformation technique (RTT). The resulting suggestions can be enhanced to extract URLs automatically from SMS spam, which will allow local authorities identify and block IOG operations.
AB - The emergence of illegal online gambling (IOG) has led to an increase in gambling addiction and threats to cyber security. Since IOG is advertised through short message service (SMS), we propose a novel system to detect and extract uniform resource locator (URL) information from SMS spam. For majority of the cases, these URLs are not directly linked to a real website address, which causes difficulties for detection systems. In order to address this problem, we utilized a readable transformation technique (RTT). The resulting suggestions can be enhanced to extract URLs automatically from SMS spam, which will allow local authorities identify and block IOG operations.
KW - Binary classification
KW - Illegal online gambling, SMS spam, cyber security
KW - Machine learning
KW - Text mining
UR - http://www.scopus.com/inward/record.url?scp=85117253292&partnerID=8YFLogxK
U2 - 10.23919/WAC50355.2021.9559478
DO - 10.23919/WAC50355.2021.9559478
M3 - Conference contribution
AN - SCOPUS:85117253292
T3 - World Automation Congress Proceedings
SP - 180
EP - 185
BT - 2021 World Automation Congress, WAC 2021
PB - IEEE Computer Society
T2 - 2021 World Automation Congress, WAC 2021
Y2 - 1 August 2021 through 5 August 2021
ER -