• 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.

• 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.

• 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.

• Convergence Security Journal
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• v.10 no.4
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• pp.1-11
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• 2010

Recently, We have many private information leakage cases through internet which cause social problems and it is impossible to change or update the leaked information, it is also used to the third crime such as identity theft, internet fraud. Hackers are interested in stealing private information for making money, in this point private information leakage problems are constantly increased hereafter. In this paper, I surveyed the authorization model on site registration which is currently used in Korea, and the problem of collecting personal identification number, I proposed policy model of useless method of private information, especially leaked information can not be used anymore in internet.

• Convergence Security Journal
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• v.8 no.4
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• pp.1-8
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• 2008

Not only the recent hacking techniques are becoming more malicious with the sophisticated technology but also its consequences are bringing more damages as the broadband Internet is growing rapidly. These may include invasion of information leakage, or identity theft over the internet. Its intent is very destructive which can result in invasion of information leakage, hacking, one of the most disturbing problems on the net. This thesis describes the technology of how you can effectively analyze and detect these kind of E-Mail malicious codes. This research explains how we can cope with malicious code more efficiently by detection method.

• 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.

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.2
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• pp.65-72
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• 2015

Although the development of digital technology and network has brought great convenience in modern lives, amongst the aggravated complexity in the contemporary society, modern minds who have failed to create genuine relationships undergo a sense of alienation and solitude that may appear as a type of social pathology called cellular-phone addiction. Also, while the emergence of the information age seemingly brings about benefits including diverse acquisition regarding knowledge and broader communication, underneath exists side effects involving leakage of private information. Especially, being excessively addicted to relationship network may induce one to become insensitive towards leakage of private information without recognizing, and thereby instigating yet another social problem. Media art is very practical in terms of suggesting a critical perspective concerning social phenomena and elevating them into a work of art by rendering them artistically. Particularly, when social problems of the modern days are expressed through digital technology, media art provides the audience with a foundation that will enable them to sympathize without hostility. This dissertation calls attention to the contemporary problems regarding cellular-phone addiction and possible hazards of information leakage based on media art, while at the same time proposing the production process of a media art work that attempts to raise awareness and sympathy on such social issues.

• Journal of Internet Computing and Services
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• v.19 no.3
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• pp.1-6
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• 2018

Widely used around the world, smartphones contain many features and can store content such as contacts, photos, and videos. Information that can be leaked in proportion to the information that the smartphone can store has also been increased. In recent years, accidents such as personal information leakage have occurred frequently. Personal information leakage is happening in the Android environment, which accounts for more than half of the smartphone operating system market share. Analyzing malicious apps that leak information can tell you how to prevent information leakage. Malicious apps that leak information will send importantinformation to the hacker's (C & C) server, which will use network communication. Malicious apps that are emerging nowadays encrypt and transmit important information through SSL communication. In this case, it is difficult to knowwhat kind of information is exposed to network. Therefore, we suggest a method to analyze malicious apps when leak important information through SSL communication. In this paper, we identify the way malicious apps leak information. And we propose a method for analyzing information leaked by SSL communication. Data before encryption was confirmed in the device through SSL hooking and SSL Strip method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4662-4679
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• 2015

Currently, the leakage of internal information has emerged as one of the most significant security concerns in enterprise computing environments. Especially, damage due to internal information leakage by insiders is more serious than that by outsiders because insiders have considerable knowledge of the system's identification and password (ID&P/W), the security system, and the main location of sensitive data. Therefore, many security companies are developing internal data leakage prevention techniques such as data leakage protection (DLP), digital right management (DRM), and system access control, etc. However, these techniques cannot effectively block the leakage of internal information by insiders who have a legitimate access authorization. The security system does not easily detect cases which a legitimate insider changes, deletes, and leaks data stored on the server. Therefore, we focused on the insider as the detection target to address this security weakness. In other words, we switched the detection target from objects (internal information) to subjects (insiders). We concentrated on biometrics signals change when an insider conducts abnormal behavior. When insiders attempt to leak internal information, they appear to display abnormal emotional conditions due to tension, agitation, and anxiety, etc. These conditions can be detected by the changes of biometrics signals such as pulse, temperature, and skin conductivity, etc. We carried out experiments in two ways in order to verify the effectiveness of the emotional recognition technology based on biometrics signals. We analyzed the possibility of internal information leakage detection using an emotional recognition technology based on biometrics signals through experiments.

• Convergence Security Journal
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• v.20 no.1
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• pp.85-92
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• 2020

None of the recent cases of military secret leakages have leaked internal information using networks. This is because the Internet and the Intranet are physically separated, and has a difficult process when transmitting and receiving data through the Internet. Therefore, most of the leaked paths are to copy and hand over secrets, shoot and send them with a smartphone, or disclose after remembering them. So, the technology of blocking and detecting military secret leakages through the network is not effective. The purpose of this research is to propose a method to prevent information leakage by focusing on the insider behaviors, the subject of leakage, rather than the military secret. The first is a preventive measure to prevent the leakage behavior of military secrets, the second is to block suspicious access to the military secret data, and the last is to detect the leakage behavior by insiders.