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NTIS 바로가기情報保護學會論文誌 = Journal of the Korea Institute of Information Security and Cryptology, v.32 no.2, 2022년, pp.439 - 446
박현수 (배재대학교) , 강아름 (배재대학교)
Document-type malicious codes are being actively distributed using attachments on websites or e-mails. Document-type malicious code is relatively easy to bypass security programs because the executable file is not executed directly. Therefore, document-type malicious code should be detected and prev...
"Malware that exploits HWP files has been found," Boannews, Aug. 2018. pp.1
"Malicious documents disguised as reimbursement requests," AhnLab, Mar, 2021. pp.1
"RTF malware disguised as a cover letter of a specific airline," AhnLab, Oct. 2021. pp.1
Wikipedia, "Com Structured Storage," https://en.wikipedia.org/wiki/COM_Structured_Storage, Jan. 2022.
Young-Seob Jeong, Jiyoung Woo, SangMin Lee and Ah Reum Kang, "Malware Detection of Hangul Word Processor Files Using Spatial Pyramid Average Pooling," Sensors, 20(18), pp. 5265, Sep. 2020.
Ah Reum Kang, Young-Seob Jeong, Se Lyeong Kim and Jiyoung Woo, "Malicious PDF Detection Model against Adversarial Attack Built from Bengin PDF Containing JavaScript," Applied Sciences, 9(22), pp. 4764, Nov. 2019.
Young-Seob Jeong, Jiyoung Woo and Ah Reum Kang, "Malware detection on byte streams of pdf files using convolutional neural networks," Security and Communication Networks, 2019. Apr. 2019.
Young-Seob Jeong, Jiyoung Woo and Ah Reum Kang, "Malware Detection on Byte Streams of Hangul Word Processor Files," Applied Sciences, 9(23), pp. 5178, Jan. 2019.
Ah Reum Kang, Young-Seob Jeong, Se Lyeong Kim, Jonghyun Kim, Jiyoung Woo and Sunoh Choi, "Detection of malicious pdf based on document structure features and stream objects," The Korea Society of Computer and Information, 23(11), pp. 85-93, Nov. 2018.
Chae-Eun Yoon, Hey-hyeon Jeoung and Chang-Jin Seo, "Detection for Document-Type Malware Code using Deep Learning Model and PDF Object Analysis," The Koran Institute of Electrical Engineers, pp.44-49, Mar. 2021.
Dekkyu Lee and Sangjin Lee, "A Study of Office Open XML Document-Based Malicious Code Analysis and Detection Methods," Journal of the Korea Institute of Information Security & Cryptology, pp. 429-442, Jun. 2020.
MinJi Choe, KangSik Shin and DongJae Jung, "HWP Format Vulnerability Analysis For Document-Type Malware Detection," The Korean Institute of Information Scientists and Engineers, pp.1188-1190, Jun. 2020.
Sung Hye Cho and Sang Jin Lee, "A Research of Anomaly Detection Method in MS Office Document," The Korea Information Processing Socirety, 6(2), pp.87-94, 2017.
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