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NTIS 바로가기韓國컴퓨터情報學會論文誌 = Journal of the Korea Society of Computer and Information, v.27 no.11, 2022년, pp.123 - 130
Jeon, Dong-Ha (Dept. of Defense Science, Korea National Defense University) , Lee, Soo-Jin (Dept. of Defense Science, Korea National Defense University)
Recently, studies on the detection and classification of Android malware based on API Call sequence have been actively carried out. However, API Call sequence based malware classification has serious limitations such as excessive time and resource consumption in terms of malware analysis and learnin...
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Statcounter, Mobile Operating System Market Share Worldwide, https://gs.statcounter.com/os-market-share/mobile/south-korea/#monthly-202108-202208
Zimperium, Financially Motivated Mobile Scamware Exceeds 100M Installations, https://blog.zimperium.com/dark-herringandroid-.scamware-exceeds-100m-installations
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Hyoseon Kyew and Minhae Kwon, "PCA-Based Low-Complexity Anomaly", KCIS, Vol. 46, No. 6, pp.941-955, June. 2021, DOI: 10.7840/kics.2021.46.6.941
Dissanayake, Maheshi B. "Feature Engineering for Cyber-attack detection in Internet of Things.", I.J Wireless and Microwave Technologies, Vol. 6, pp.46-54, Dec. 2021, DOI: 10.5815/ijwmt.2021.06.05.
A. Rahali, A. H. Lashkari, G. Kaur, L. Taheri, F. Gagnon, and F. Massicotte, "DIDroid: Android Malware Classification and Characterization Using Deep Image Learning", Proc. of the 10th International Conference on Communication and Network Security (ICCNS2020), pp.70-82, Nov. 2020, DOI: 10.1145/3442520.3442522
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