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http://dx.doi.org/10.6109/jkiice.2021.25.9.1227

Cloud-based malware QR Code detection system  

Kim, Dae-Woon (Department of Information Security, Dong-Shin University)
Jo, Young-Tae (Department of Information Security, Dong-Shin University)
Kim, Jong-Min (Department of Information Security, Dong-Shin University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.9, 2021 , pp. 1227-1233 More about this Journal
Abstract
QR Code has been used in various forms such as simple business cards and URLs. Recently, the influence of Corona 19 Fundemik has led to the use of QR Codes to track travel routes through visits and entry / exit records, and QR Code usage has skyrocketed. In this way, most people have come to use it in the masses and are constantly under threat. In the case of QR Code, you do not know what you are doing until you execute it. Therefore, if you undoubtedly execute a QR Code with a malicious URL inserted, you will be directly exposed to security threats. Therefore, this paper provides a cloud-based malware QR Code detection system that can make a normal connection only when there is no abnormality after determining whether it is a malicious QR Code when scanning the QR Code.
Keywords
Cloud; QR code; Malware; Docker;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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