• 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.

• 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.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.8
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• pp.1577-1587
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• 2015

Privacy of financial customers is becoming important due to frequent leakage of personal information. Financial customers, who experience the leakage of personal information, feel threatened by their privacy and this changes customer's awareness about financial institutions or behavioral intentions. By examining the influence relation of personal information security vulnerability of the bank information system with usefulness, trust and attractiveness perceived by bank customers, this study aims to analyze the effect of each variable on bank customers' willingness to stay.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.2
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• pp.1-11
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• 2017

In this paper, we design and implement PADIL(Prediction And Detection of Information Leakage) system that predicts and detect information leakage behavior of insider by analyzing network traffic and applying a variety of machine learning methods. we defined the five-level information leakage model(Reconnaissance, Scanning, Access and Escalation, Exfiltration, Obfuscation) by referring to the cyber kill-chain model. In order to perform the machine learning for detecting information leakage, PADIL system extracts various features by analyzing the network traffic and extracts the behavioral features by comparing it with the personal profile information and extracts information leakage level features. We tested various machine learning methods and as a result, the DecisionTree algorithm showed excellent performance in information leakage detection and we showed that performance can be further improved by fine feature selection.

• Convergence Security Journal
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• v.20 no.3
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• pp.79-88
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• 2020

Business consignment using personal information is increasing for the operating profit and work efficiency of Internet companies. If the personal information leakage accident occurs at the consignee, the consigner who provided personal information will be damaged greatly. The purpose of this study is to analyze the business attributes of consignee using consigned personal information and present a model that can be used to select companies with high risk of personal information leakage by considering the importance of the involved personal information. For this, personal information consignment relations, consignment services, and personal information items used were analyzed. Social network analysis and cluster analysis were applied to select companies with high network centrality that are advisable to obtain information security certification. The results of this study could be used to establish information protection strategies for private or public enterprises that manage companies using personal information.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.1
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• pp.41-54
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• 2020

In this paper, it will study various problems such as personal information infringement from when using various useful Apps in the Smartphone environment. It also researched the vulnerabilities Mobile Apps and the risks of personal information leakage when using Smartphone information to decrease threat and find solution. In the second chapter, it will check the existing Mobile App related Apps. In the third chapter, it will check the threats and major factors that caused by the leakage of personal information which related to the app. Then it will suggest solution and end with conclusion. This paper also looked at various problems that caused by illegal adverse effect from illegal personal information collection. Then it researched and made suggestion to make consideration on safety of personal information and privacy infringement that threat to personal information For safety of mobile banking, it proposed a safety method to separate and manage the code which has the core logic which required to run the App. For safety of direction App, when running the direction App, even if the information is collected, location information for unauthorized accessed will encrypt and store in DB, so that access to personal information is difficult. For delivery App environment, by using the national deliver order call center's representative phone to receive a telephone order then, the customer information is delivered to the branch office when it receive order and it will automatically delete information from the server when the delivery is completed by improving DB server of order. For the smart work app environment, the security solution operates automatically by separating and make independent private and work areas. Then it will suggest initialization for company's confidential business information and personal information to safe from danger even if loss.

• 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.

• Journal of Information Technology Services
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• v.13 no.2
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• pp.163-172
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• 2014

Personal information has been stolen continuously and it is also affected from development of the Internet. So the government requires that companies spend more effort for protecting customers' personal information. The OLAP server also should meet this requirement, but it is hard to satisfy for the authority management. The OLAP server must use personal information to extract required information from database. This thesis suggests a model of separating between general information and personal information, so this model can help to minimize the leakage of personal information. The model is implemented and tested as a prototype. This prototype can prove that the new model is better than the original one. This study presents that the authority management on the separation between personal information and general information helps protect the personal information of customers.

• 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 the Korea Institute of Information Security & Cryptology
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• v.22 no.1
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• pp.99-106
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• 2012

Numerous private corporations and public institutions are collecting personal information through the diverse methods for the purpose of sales, promotion and civil services, and using personal information for the profits of the organizations and services. However, due to immaturity of the technical, managerial measures and internal control for the collected personal information, the misuse, abuse and the leaks of personal information are emerged as major social issues, and the government also is promoting implementation of the act on the privacy protection by recognizing the importance of the personal information protection. This research describes on the measures to detect the anomaly by analyzing personal information treatment patterns managed by the organizations, and on the measures to coup with the leaks, misuse, and abuse of personal information. Particularly, this research is intended to suggest privacy leakage monitoring system design, which can be managed by making the elements related to personal information leaks to numeric core risk indexes to be measured objectively.