• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.9
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• pp.1231-1240
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• 2020

Water pipes are laid on the ground, making it impossible to visually detect leaks due to aging of pipes, and technology to detect leaks in pipes is mainly used to detect leaks in pipes by detecting leaks. In this paper, two accelerometers were attached to both ends of the constant water piping to calculate the time difference between the acquired data to detect leakage points. The leak test of piping was performed by installing valves at 4.3m, 8.6m, and 12.9m points on piping 17.2m, and changing the development rate of valves to 30% and 70%. Leakage can be detected for pressure drop in piping, which is 30% and 70% open valve. It is very important to detect leakage in the early stage, and it is judged that detection of the initial leak point from the algorithm applied in this paper will be possible.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.194-204
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• 2019

The mobile payment app market has been expanding recently. However, the usage rate of mobile payment apps is not meeting service providers' expectations due to concerns about security and privacy. This study investigated how personal predisposition and how the security signals of the payment app affect users' perceived privacy and security risks, and how these factors ultimately affect the trust of mobile payment apps. The results showed that privacy concerns increase the risk of perceived personal information leaks and reduce perceived mobile system security, while familiarity, perceived reputation, and assurance seal reduce the risk of perceived personal information leaks and increase perceived mobile system security. Finally, it revealed that the reduced risk of perceived personal information leaks and the increased security of mobile systems had a positive impact on the reliability of mobile payment apps.

• Spatial Information Research
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• v.12 no.1
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• pp.89-100
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• 2004

Nowadays, the gas utilities have been increasing constantly due to the expansion of the urban areas. Using computerized information database, the gas companies have developed a gas management system in order to maintain the current status. However, this system can only give basic functions of the maintenance and management of the gas facilities and it has no proper utilities to provide information against accidents from gas leaks. Therefore, a gas accident management system has been developed in this study. Through primary and secondary pipe searching algorithm realtime based management system was devised against gas leaks to propose proper actions. In addition, supporting decision making has been enabled providing estimated maximum amount of gas leaks. Furthermore, all the residential units could be identified thereby minimizing damages through early warning. This system can be expected to contribute to enhance the efficiency of the gas management not to mention of protecting human lives and properties of the nation.

• 한국IT서비스학회:학술대회논문집
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• 2008.05a
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• pp.567-571
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• 2008

As computer technology grows, the risk of personal information leak on the internet is also increasing. A so-called "cookie" is used as one of the ways personal information leaks. A cookie offers convenience on the internet but serves as a major reason for personal information leakage at the same time. In this paper, we discuss risks and potential managements of a cookie.

• International journal of advanced smart convergence
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• v.5 no.4
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• pp.26-31
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• 2016

In a cloud computing environment, a cryptographic service allows an information owner to encrypt the information and send it to a cloud server as well as to receive and decode encrypted data from the server which guarantees the confidentiality of shared information. However, if an attacker gains a coded data and has access to an encryption key via cloud server, then the server will be unable to prevent data leaks by a cloud service provider. In this paper, we proposed a key management server which does not allow an attacker to access to a coded key of the owners and prevents data leaks by a cloud service provider. A key management server provides a service where a server receives a coded public key of an information user from an owner and delivers a coded key to a user. Using a key management server proposed in this paper, we validated that the server can secure the confidentiality of an encryption key of data owners and efficiently distribute keys to data users.

• Convergence Security Journal
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• v.16 no.7
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• pp.167-172
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• 2016

The purpose of this study is to provide implications for preventing insider information leakages in public agencies for national security. First, the study examined the definitions and current usage of information security systems of public agencies were examined. Second, web-service base information leaks and malware-base information leaks were discussed and three major credit card companies' personal information leakage cases were analyzed. Based on the analysis, four solutions were provided. First, information leakages can be protected by using web filtering solutions based on the user, which make possible to limit frequencies of malware exposures. Second, vaccine programs and vaccine management system should be implemented to prevent information leakages by malware. Third, limit the use of portable devices within local networks to prevent information leakages and vaccines programs for malware should be regularly used. Forth, to prevent information leakages by smartphone malwares, data encryption application should be used to encrypt important information.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.3
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• pp.705-715
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• 2017

Today, the world is evolving into a huge community that can communicate with real-time information sharing and communication based on the rapid advancement of scientific technology and information. Behind this information, the adverse effects of information assets, such as hacking, viruses, information assets, and unauthorized disclosure of information assets, are continually increasing as a serious social problem. Each time an infringement of the invasion and personal information leaks occur, many regulatory policies have been announced, including stricter regulations for protecting the privacy of the government and establishing comprehensive countermeasures. Also, companies are making various efforts to increase awareness of the importance of information security. Nevertheless, information security accidents like the leaks of industrial secrets are continuously occurring and the frequency is not lessening. In this thesis, I proposed a customized security policy methodology that supports users with various business circumstances and service and also enables them to respond to the security threats more confidently and effectively through not a monotonous and technical but user-centered security policy.

• Journal of the Society of Disaster Information
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• v.11 no.4
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• pp.475-486
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• 2015

The objective of this study is to analyze control factors in protecting activities of business information that affects the effects of protecting leaks of industrial secretes during business security works in the ranks of staffs. A regression analysis was implemented by 36 items of protecting activities of information and 10 items of preventing industrial secretes for a total of 354 users and managers who use internal information systems in governments, public organizations, and civilian enterprises. In the recognition of protecting activities of business information that affects the prevention of controlling industrial secretes, clerks showed recognitions in physical control, environmental control, and human resource control, and software control and assistant chiefs showed recognitions in hardware control and environmental control. Also, ranks of department managers and higher levels represented recognitions in security control activities. It showed that clerks, assistant chiefs, and above department managers show effects of technical control factors on protecting activities of industrial secretes but section chiefs represent system control factors in preventing industrial secretes.

• Convergence Security Journal
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• v.24 no.3
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• pp.3-11
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• 2024

Information security is crucial not only for protecting against external cyber-attacks but also for identifying and blocking internal data leakage risks in advance. To this end, many companies and institutions implement digital rights management(DRM) document security solutions, which encrypt files to prevent content access if leaked, and data loss prevention(DLP) solutions, which control devices such as USB ports on computing equipment to prevent data leaks. At a time when efforts to prevent internal data leaks are crucial, there is a growing need for control policies such as device control and the identification of information assets in standalone network environments, which could otherwise fall into unmanaged domains. In this study, we propose a Generation-Distribution-Application model for device control policies that are uniquely applied to standalone information assets that are not connected to internal networks. To achieve this, we developed an authentication technique linked with the asset management system, where information assets are automatically registered upon acquisition. This system allows for precise identification of information assets and enables flexible device control, and we have designed and implemented a system based on these principles.

• Smart Media Journal
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• v.11 no.10
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• pp.46-53
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• 2022

Today, due to the 4th industrial revolution and extensive R&D funding, domestic companies have begun to possess world-class industrial technologies and have grown into important assets. The national government has designated it as a "national core technology" in order to protect companies' critical industrial technologies. Particularly, technology leaks in the shipbuilding, display, and semiconductor industries can result in a significant loss of competitiveness not only at the company level but also at the national level. Every year, there are more insider leaks, ransomware attacks, and attempts to steal industrial technology through industrial spy. The stolen industrial technology is then traded covertly on the dark web. In this paper, we propose a system for detecting industrial technology leaks in the dark web environment. The proposed model first builds a database through dark web crawling using information collected from the OSINT environment. Afterwards, keywords for industrial technology leakage are extracted using the KeyBERT model, and signs of industrial technology leakage in the dark web environment are proposed as quantitative figures. Finally, based on the identified industrial technology leakage sites in the dark web environment, the possibility of secondary leakage is detected through the PageRank algorithm. The proposed method accepted for the collection of 27,317 unique dark web domains and the extraction of 15,028 nuclear energy-related keywords from 100 nuclear power patents. 12 dark web sites identified as a result of detecting secondary leaks based on the highest nuclear leak dark web sites.