• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.2
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• pp.323-329
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• 2018

In this paper, we implemented an access control system that only allows specific users to use documents in Hangul document system. The system structure designed in this paper is to transform header information of Hangul document by analyzing the structure of Hangul document. By modifying the function of a specific field of the header information in Hangul document, it prevents users that do not have data for the modified information to open and view the document. By controlling the access rights to important Hangul documents, it is possible to manage Hangul files more safely. In this paper, the actual design of information was implemented and experiments were carried out. Results of the experiment confirmed that the access control system is operated in normal way. In this paper, we implemented an access control system that only allows specific users to use documents in Hangul document system.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.5
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• pp.945-957
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• 2012

Electronic documents have characteristics that detecting whether an electronic document is modified or not is not an easy process. Thus verifying integrity of documents is very important for using electronic documents. To facilitate this process, various electronic document software provide digital signature capabilities on themselves. However, there were not much research on the security of digital signature function of software. Therefore, in this paper, we analyze the security of Adobe PDF, MS Word, Hancom Hangul, digital notary service and digital year-end-settlement service, and propose recommendations for implementation of digital signature funcion.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.1
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• pp.71-82
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• 2024

With the advancement of information and communication technology (ICT), the use of electronic document types such as PDF, MS Office, and HWP files has increased. Such trend has led the cyber attackers increasingly try to spread malicious documents through e-mails and messengers. To counter such attacks, AI-based methodologies have been actively employed in order to detect malicious document files. The main challenge in detecting malicious HWP(Hangul Word Processor) files is the lack of quality dataset due to its usage is limited in Korea, compared to PDF and MS-Office files that are highly being utilized worldwide. To address this limitation, data augmentation have been proposed to diversify training data by transforming existing dataset, but as the usefulness of the augmented data is not evaluated, augmented data could end up harming model's performance. In this paper, we propose an effective semi-supervised learning technique in detecting malicious HWP document files, which improves overall AI model performance via quantifying the utility of augmented data and filtering out useless training data.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.109-118
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• 2011

Recently, electronic documents are deployed in many areas. However, trust concerns arise owing to the fact that detecting whether an electronic document is modified or not is not an easy process. To facilitate this process, many word processors provide digital signature capabilities on themselves. However, there were not much research on the security of digital signature function of various programs including Microsoft Word and Hancom Hangul. Therefore, in this paper, we analyze the security of Microsoft Word and Hancom Hangul, and propose improvements for their digital signature schemes.