1 |
Korea Internet & Security Agency, "Cyber Threat Trend Report(thefirsthalf2022)", accessed July.12, 2022. https://www.krcert.or.kr/data/reportView.do?bulletin_writing_sequence=66820
|
2 |
S.H Hong, "Study on defense countermeasures against Webshell attacks of the Industrial Information System", Journal of Industrial Convergence, Vol. 16, No. 4, 47-52, 2018. https://doi.org/10.22678/JIC.2018.16.4.047
DOI
|
3 |
K.H. Kim, "A Study on Detection Method of Malicious Code Based on Artificial Intelligence Machine Learning", ICONI, 2017.
|
4 |
C.R. Han, S.H Yun, M.J Han, I.G Lee., "Machine Learning-Based Malicious URL Detection Technique," Journal of the Korea Institute of Information Security & Cryptology, 32(3), 555-564, 2022.
|
5 |
K.H. Kim, S.S. Choi, Y.T Shin, "Development of artificial intelligence application of web shell collection and analysis system Trend Analysis", Korean Internet and Information Society, Vol. 19, No. 2, 2018.
|
6 |
J.B. Lee, "A Study on the improvement of countermeasures for webshell hacking", Dongguk University, 2019.
|
7 |
Gil Min-kwon, "Web Hacking Starts from 'Web Shell' ", dailysecu, 2011. https://www.dailysecu.com/news/articleView.html?idxno =15,2011.06.02.
|
8 |
O.Y. Han, "Artificial Intelligence Trend Research and Technology Trend Analysis in the Era of the 4th Industrial Revolution", Proceedings of the Korea Internet and Information Society, Vol. 18, No. 2, 2017.
|
9 |
J.U. Park, "Deep Learning-based Malicious Code Detection Using API Features", Graduate School of Konkuk University, 2017.
|
10 |
H.J Jung, H.Y. Ryu, "Deobfuscation Processing and DeepLearning-Based Detection Method for PowerShellBased Malware," Journal of the Korea Institute of Information Security& Cryptology, 32(3), 501-511, 2022
|
11 |
Jaehong Yoo, "A Study on the Improvement of Website Security Vulnerabilities", Domestic Master's Dankook University, 2021.
|
12 |
Cisco Visual Networking Index 2017-2022 Outlook and Trends", 2018. https://www.cisco.com/c/dam/global/ko_kr/solutions/service-provider/visual-networking-index-vni/pdfs/white-paper-c11-741490-kr.pdf
|
13 |
K. A. Kim, "A Study on Design of Improved Security Vulnerability of Web Application", Hanbat University GraduateSchoolofInformationand Communication, 2016.
|
14 |
U. Chung, J.S. Moon, "Study on security requirements for the web based operation system of a shipping company", Journal of Korean Society for Internet Information, vol. 23, no. 1, p. 49-68, 2022. https://doi.org/10.7472/jksii.2022.23.1.49
DOI
|
15 |
Kihwan Kim, Lee DongGeun, Hyoung Yi, Yongtae Shin, "A Study on Sliding Window based Machine Learning for Web Shell Detection," Proceedings of the Korean Society of Computer Information Conference, 27(2), 121-122, 2019. https://koreascience.kr/article/CFKO201920461758039.page
|