• Convergence Security Journal
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• v.14 no.5
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• pp.31-36
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• 2014

As security management center of financial area, financial ISAC monitors financial corporations and provides security services. Financial ISAC minimizes damage by responding quickly to external attack such as hacking, virus but it is poor at handling internal attack. For the efficient management and stable operation of information source, also to respond jointly to online hacking, the necessity of information sharing system increases day by day in and outside country. This paper proposes financial ISAC that can prevent a secondary damage of leakage information as well as providing security services. The proposed financial ISAC provides new password to financial corporation in which the same ID and password as leakage information are used and in case of financial information leakage it warns customers against phishing etc.

• Journal of Power System Engineering
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• v.15 no.1
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• pp.18-23
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• 2011

Image processing has provided powerful techniques to extract from the acoustic signals the desired information on evaluation for leakage existence, leakage rate, and searching for leakage location, etc. The imagery NDE data available can add additional and significant dimension in nondestructive evaluation(NDE) information and thus for exploiting in applications. To extract such information the use of advanced image processing techniques is much needed. In recent years, there has been much increased use of acoustic signal image processing techniques in acoustic NDE. This approach will increase the efficiency of inspection procedures and reduce inspection time. In this paper we are concerned only with This paper is concerned mainly with the use of advanced image processing techniques in valve leakage detection and advanced image restoration and enhancement methods, which attempt to evaluate promptly by a visualization method the acoustic sources while detecting the valve leakage.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.18 no.1 s.116
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• pp.76-81
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• 2007

In this paper, we analyzed the vulnerability of information leakage due to the leakage electromagnetic waves of a PC keyboard. First, we reviewed the keyboard protocol and hardware structure, we analyzed the correlation between the data signal, which is transmitted from the keyboard to the main body, and the leakage signal on the power cable. With the result, we grasped the cause of the Conducted Emission of a PC keyboard. Also, we compared the limit level of the CISPR 22 standard with the amplitude of the keyboard leakage electromagnetic waves we calculated. By analyzing the signal on the power cable of the PC main body through the simple experiment, we show that it is possible to extract the contents of the PC key. Therefore it is verified that the secret information of the PC user could leak out.

• 한국정보통신설비학회:학술대회논문집
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• 2008.08a
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• pp.93-96
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• 2008

A transmitter (TX) leakage cancellation scheme using a Micro Controller Unit (MCU) is introduced. This paper highlights an adaptive anti-leakage signal generation via an MCU, which plays the key role in reducing the TX leakage signal level. High transmitter-to-receiver (TX-to-RX) isolation is verified with measurement results.

• Journal of KIISE
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• v.41 no.9
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• pp.707-714
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• 2014

In general, the benign apps transmit privacy information to the external to provide service to users as the malicious app does. In other words, the behavior of benign apps is similar to the one of malicious apps. Thus, the benign app can be easily manipulated for malicious purposes. Therefore, the malicious apps as well as the benign apps should notify the users of the possibility of privacy information leakage before installation to prevent the potential malicious behavior. In this paper, We propose the method to detect leakage of privacy information on the android app by analyzing API inter-dependency and shortest distance. Also, we present LeakDroid which detects leakage of privacy information on Android with the above method. Unlike dynamic approaches, LeakDroid analyzes Android apps on market site. To verify the privacy information leakage detection of LeakDroid, we experimented the well-known 250 malicious apps and the 1700 benign apps collected from Android Third party market. Our evaluation result shows that LeakDroid reached detection rate of 96.4% in the malicious apps and detected 68 true privacy information leakages inside the 1700 benign apps.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.5
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• pp.731-737
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• 2011

The purpose of this study is to examine Internet users' psychological anxiety about the possibility of personal information leakage. The investigator examined the difference of psychological anxiety focusing on the possibility of personal information leakage according to the use amount of Internet, the number of joined sites and the frequency of e-commerce transaction. Study findings show that women felt more psychological anxiety than men did. In addition, people who used Internet more frequently felt more psychological anxiety. However, the number of joined sites and the average frequency of e-commerce transaction in a month had no significant influence upon users' psychological anxiety about the possibility of personal information leakage.

• Journal of Internet Computing and Services
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• v.25 no.4
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• pp.87-96
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• 2024

Information power has been a major criterion for wealth disparity in human history, and since the advent of the Fourth Industrial Revolution, referred to as the data economy era, personal information has also gained economic value. Additionally, companies collect and analyze customer information to use as a marketing tool, providing personalized services, making the collection of quality customer information crucial to a company's success. However, as the amount of data held by companies increases, crimes of stealing personal information for financial gain have surged, making corporate customer information a target for criminals. The leakage of personal information and its circumstances lead to a decline in corporate trust from the customer's perspective, threatening corporate sustainability with falling stock prices and decreased sales. Therefore, companies find themselves in a paradoxical situation where the utilization of personal information is increasing while the risk of personal information leakage is also growing. This study used the news big data analysis system, BIG KINDS, to analyze major keywords before and after media coverage on personal information leaks, examining domestic media coverage trends. Through this, we identified the impact of personal information leakage on corporate sustainability and analyzed the connection between personal information protection and sustainable corporate management. The results derived from this study are expected to serve as foundational data for companies seeking ways to enhance sustainable management while increasing the utilization of personal information.

• 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 the Korea Institute of Information Security & Cryptology
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• v.23 no.2
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• pp.181-192
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• 2013

There have been various techniques to detect and control document leakage; however, most techniques concentrate on document leakage by outsiders. There are rare techniques to detect and monitor document leakage by insiders. In this study, we observe user's document reading behavior to detect and control document leakage by insiders. We make each user's document reading patterns from attributes gathered by a logger program running on Microsoft Word, and then we apply the proposed system to help determine whether a current user who is reading a document matches the true user. We expect that our system based on document reading behavior can effectively prevent document leakage.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.137-152
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• 2018

It is a measure to overcome limitations that occur in the activity of detecting and blocking abnormal information leakage activity by collecting the activity log generated by the security solution to detect the leakage of existing financial information and analyzing it by pattern analysis. First, it monitors real-time execution programs in PC that are used as information leakage path (read from the outside, save to the outside, transfer to the outside, etc.) in the PC. Second, it determines whether it is a normal controlled exception control circumvention by interacting with the related security control process at the time the program is executed. Finally, we propose a risk management model that can control the risk of financial information leakage through the process procedure created on the basis of scenario.