• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.217-219
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• 2021

With the development of ICT, the amount of data increases, and the technology of storing and processing becomes important. In this study, we study real-time file copy leakage prevention system to prevent leakage of important data in enterprises, public places, etc. As a research method, we propose a system that detects events in real time to prevent data leakage after analyzing data leakage cases and problems. The file leakage prevention system compares and analyzes with the existing EDLP system, and the proposed system reduces load and detects events. Future research requires research on the prevention of leaks through networks and various channels.

• The Journal of Information Systems
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• v.27 no.1
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• pp.171-191
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• 2018

Purpose Corporate technology leakage is not only monetary loss, but also has a negative impact on the corporate image and further deteriorates sustainable growth. In particular, since SMEs are highly dependent on core technologies compared to large corporations, loss of technology leakage threatens corporate survival. Therefore, it is important for SMEs to "prevent and protect technology leakage". With the recent development of data analysis technology and the opening of public data, it has become possible to discover and proactively detect companies with a high probability of technology leakage based on actual company data. In this study, we try to construct profiles of enterprises with and without technology leakage experience through profiling analysis using data mining techniques. Furthermore, based on this, we propose a classification model that distinguishes companies that are likely to leak technology. Design/methodology/approach This study tries to develop the empirical model for prevention and protection of technology leakage through profiling method which analyzes each SME from the viewpoint of individual. Based on the previous research, we tried to classify many characteristics of SMEs into six categories and to identify the factors influencing the technology leakage of SMEs from the enterprise point of view. Specifically, we divided the 29 SME characteristics into the following six categories: 'firm characteristics', 'organizational characteristics', 'technical characteristics', 'relational characteristics', 'financial characteristics', and 'enterprise core competencies'. Each characteristic was extracted from the questionnaire data of 'Survey of Small and Medium Enterprises Technology' carried out annually by the Government of the Republic of Korea. Since the number of SMEs with experience of technology leakage in questionnaire data was significantly smaller than the other, we made a 1: 1 correspondence with each sample through mixed sampling. We conducted profiling of companies with and without technology leakage experience using decision-tree technique for research data, and derived meaningful variables that can distinguish the two. Then, empirical model for prevention and protection of technology leakage was developed through discriminant analysis and logistic regression analysis. Findings Profiling analysis shows that technology novelty, enterprise technology group, number of intellectual property registrations, product life cycle, technology development infrastructure level(absence of dedicated organization), enterprise core competency(design) and enterprise core competency(process design) help us find SME's technology leakage. We developed the two empirical model for prevention and protection of technology leakage in SMEs using discriminant analysis and logistic regression analysis, and each hit ratio is 65%(discriminant analysis) and 67%(logistic regression analysis).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.3
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• pp.558-575
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• 2013

The purpose of a data leakage prevention system is to protect corporate information assets. The system monitors the packet exchanges between internal systems and the Internet, filters packets according to the data security policy defined by each company, or discretionarily deletes important data included in packets in order to prevent leakage of corporate information. However, the problem arises that the system may monitor employees' personal information, thus allowing their privacy to be violated. Therefore, it is necessary to find not only a solution for detecting leakage of significant information, but also a way to minimize the leakage of internal users' personal information. In this paper, we propose two models for representing the level of personal information disclosure during data leakage detection. One model measures only the disclosure frequencies of keywords that are defined as personal data. These frequencies are used to indicate the privacy violation level. The other model represents the context of privacy violation using a private data matrix. Each row of the matrix represents the disclosure counts for personal data keywords in a given time period, and each column represents the disclosure count of a certain keyword during the entire observation interval. Using the suggested matrix model, we can represent an abstracted context of the privacy violation situation. Experiments on the privacy violation situation to demonstrate the usability of the suggested models are also presented.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.11
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• pp.1544-1553
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• 2018

Recently internal information leakage in industries is severely increasing in spite of industry security policy. Thus, it is essential to prepare an information leakage prevention measure by industries. Most of the leaks result from the insiders, not from external attacks. In this paper, a real-time internal information leakage prevention system via both storage and network is implemented in order to protect confidential file leakage. In addition, a Hadoop-based user behavior analysis and statistics system is designed and implemented for storing and analyzing information log data in industries. The proposed system stores a large volume of data in HDFS and improves data processing capability using RHive, consequently helps the administrator recognize and prepare the confidential file leak trials. The implemented audit system would be contributed to reducing the damage caused by leakage of confidential files inside of the industries via both portable data media and networks.

• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.65-89
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• 2014

Although many studies have focused on the influences and outcomes of personal information leakage, few studies have investigated how the personal information leakage prevention behavior differs depending on internet user. This study attempts to supplement the existing studies' limitations with the use of risk perception attitude (RPA) framework. More specifically, this study tries to show internet user can be classified into four groups based on perceived risk of personal information leakage and efficacy beliefs of personal information protection, and to identify how the groups differ in terms of motivation, information seeking, and behaviors for privacy leakage prevention. Analysis on survey data from 276 internet users reveals that the users can be classified into responsive, avoidance, proactive, indifference groups. Furthermore, there are differences between groups in terms of motivation, information seeking, and behaviors for personal information leakage prevention. This study contributes to expand existing literature by providing tailored guidelines for implementation of personal information protection strategies and policy.

• Journal of Information Technology Services
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• v.19 no.2
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• pp.83-92
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• 2020

The current technology drain at small and medium-sized enterprises in Korea is very serious. According to the National Intelligence Service's survey data, 69 percent of technology leaks are made through employees of small and medium-sized enterprises. A document security system was introduced to compensate for the problem. However, small and medium-sized enterprises are not doing well due to their poor environment. Therefore, it proposes a document security system suitable for small businesses by developing a location information machine learning system that automatically creates a document security Green Zone through learning, and an ECM-based electronic document leakage prevention system that manages generated Green Zone information by reflecting it into the document authority system. And step by step, propose a universal solution through cloud services..

• Journal of Korea Multimedia Society
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• v.13 no.1
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• pp.111-121
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• 2010

Since SMEs have recognized needs for industrial technique leakage prevention, they tend to construct information security system causing huge consumption of budget, yet they cannot organize information security team to operate integrated information security management system with consistency and it is fact that there only occur instant introductions of certain system. In this study, we designed information security management system for SMEs' industrial technique leakage prevention which is differentiated from those of large enterprises based on current status of SMEs' industrial technique leakage. Specifically we analyzed current status and vulnerability of SMEs' industrial technique leakage and we designed industrial technique leakage prevention management system for SMEs. Then we applied Delphi method to validate appropriateness of study result. We strongly believe that SMEs may estimate a appropriate level of investment on information security and develop countermeasures for control by utilizing this study result.

• Convergence Security Journal
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• v.18 no.5_1
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• pp.121-126
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• 2018

The development of modern ICT and network technologies has made the business environment smart.and under such circumstances, a great deal of data is being generated, stored and used. The important information that becomes an energy source for corporate management creates economic profit and value and is also utilized as a basis for strong influence. Therefore, important information must ensure its availability and convenience while ensuring confidentiality and integrity, which is the basic objective of information protection. However, most companies are seeing more and more incidents of serious damage due to the leakage of important internal information. In this study, we deal with the Data Loss Prevention (DLP) technologies and solutions to prevent internal information leakage and establish stable data security and information protection management.

• Convergence Security Journal
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• v.17 no.5
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• pp.101-110
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• 2017

The purpose of this study is to examine possibilities of industry secret information leakage through IoT devices and to prevent information leakage from the perspective of administrative and technique security. From the administrative security perspective, first, it is important to face the possibility of industry information data leakage through anyone who can access companies and should establish guidelines to limit the use of IoT devices when entering companies. Second, security management guideline should be prepared by companies or upon user's request and use of any electronic devices sharing wireless internet connection should be eliminated or restricted. From technique security perspective, channels that sharing IoT devices in computers should be controlled since industry secret information are stored in computers and servers. Furthermore, IoT devices that accessing wireless internet network or devices that already registered should be regularly checked in order to minimize any information leakage. Lastly, data and information stored in computers and servers should be encrypted.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.5
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• pp.961-968
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• 2014

In order to prevent leakage of personal information by insiders a large number of companies install pc security solutions like DRM(Digital Right Management), DLP(Data Loss Prevention), Personal information filtering software steadily. However, despite these investments anomalies personal information occurred. To establish proper security policy before implementing pc security solutions, companies can prevent personal information leakage. Furthermore by analyzing the log from the solutions, companies verify the policies implemented effectively and modify security policies. In this paper, we define the required security solutions installed on PC to prevent disclosure of personal information in a variety of PC security solution, plan to integrate operations of the solutions in the blocking personal information leakage point of view and propose security policies through PC security solution log analysis.