• Journal of the Korea Society of Computer and Information
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• v.17 no.9
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• pp.65-73
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• 2012

The traditional text-based password is vulnerable guessing, dictionary attacks, keyloggers, social engineering, stole view, etc. these vulnerability effect more serious problem in a mobile environment. In this study, By using the pattern number to enter the password of an existing four-digit numeric password, User easily use to new password system. The technology on pattern based numerical password authorization proposed in this paper would intensify the security of password which holds existing 10 numbers of cases by authorizing a user and would not invade convenience of use by providing high security and making users memorize only four numbers like old method. Making users not have inconvenience and raising complexity, it would have a strength to an shoulder surfing attack of an attacker. So I study password system that represents the shape-based of number. I propose the new password system to prevent peeking attacks and Brute-force attack, and this proposal is to review the security and usability.

• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.25-37
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• 2006

The purpose of this study examines the interrelationships among antecedents and consequences of privacy concern on the online-shopping mall. Based on relevant literature review, a customer's attitude toward direct marketing, a customer's desire to information control, and a customer's prediction of negative effect as antecedents that affect the privacy concern. Also, consequences are a firm's reputation and a customer's purchase experience. Then related hypotheses were tested using data from 165 online shopping mall customer. The results for empirical analysis are as follows; 1) a customer's attitude toward direct marketing affected negatively the privacy concern, 2) a customer's desire to information control and a customer's prediction of negative effect affected positively the privacy concern, 3) a firm's reputation negatively related to the privacy concern, 4) a customer's purchase experience positively related to a firm's reputation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.701-712
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• 2016

The number of subscriber of digital pay TV service such as Digital Cable TV and IPTV is increasing from various kind of service provider world widely. These services require personal information of users to provide VOD(Video on Demand) and customized contents. Therefore, massive amount of personal information collected by service provider can cause social confusion such as leakage of privacy and property damage. This paper investigates whether broadcasting stations are providing enough notification for privacy policy and methodology of collecting private information in proper way. Furthermore, we analyze actual network traffic of IPTV service between user and service provider to suggest solution of privacy protection along with current status analysis.

• The KIPS Transactions:PartA
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• v.14A no.1 s.105
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• pp.1-14
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• 2007

MPICH-G2 is an MPI implementation to solve complex computational problems by utilizing geographically dispersed computing resources in grid environments. However, the computation nodes in MPICH-G2 are exposed to the external network due to the lack of supporting the private IP clusters, which raises the possibility of malicious security attacks. In order to address this problem, we propose MPICH-GP with a new relay scheme combining NAT(Network Address Translation) service and an user-level proxy. The proxy running on the front-end system of private IP clusters forwards the incoming connection requests to the systems inside the clusters. The outgoing connection requests out of the cluster are forwarded through the NAT service on the front-end system. Through the connection path between the pair of processes, the requested MPI jobs can be successfully executed in grid environments with various clusters including private IP clusters. By simulations, we show that the performance of MPICH-GP reaches over 80% of the performance of MPICH-G2, and over 95% in ease of using RANK management method.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.3
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• pp.133-142
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• 2013

Recently, smart devices for various services have been developed using converged telecommunications, and the markets for near field communication (NFC) mobile services is expected to grow rapidly. In particular, the realization of mobile NFC payment services is expected to go commercial, and it is widely attracting attention both on a domestic and global level. However, this realization would increase privacy infringement, as personal information is extensively used in the NFC technology. One example of such privacy infringement would be the case of the Google wallet service. In this paper, we propose an mutual authentication scheme based on NTRU for secure channel in OTA and an zero-knowledge proof scheme NTRU based on for protecting user information in NFC mobile payment systems without directly using private financial information of the user.

• The KIPS Transactions:PartC
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• v.18C no.6
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• pp.369-378
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• 2011

To ensure data confidentiality and fine-grained access control in business environment, system model using KP-ABE(Key Policy-Attribute Based Encryption) and PRE(Proxy Re-Encryption) has been proposed recently. However, in previous study, data confidentiality has been effected by decryption right concentrated on cloud server. Also, Yu's work does not consider a access privilege management, so existing work become dangerous to collusion attack between malicious user and cloud server. To resolve this problem, we propose secure system model against collusion attack through dividing data file into header which is sent to privilege manager group and body which is sent to cloud server. And we construct the model of access privilege management using AONT based XOR threshold Secret Sharing, In addition, our scheme enable to grant weight for access privilege using XOR Share. In chapter 4, we differentiate existing scheme and proposed scheme.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.3
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• pp.589-598
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• 2019

The amount of digital data a is explosively growing, and these data have large potential values. Countries and companies are creating various added values from vast amounts of data, and are making a lot of investments in data analysis techniques. The privacy problem that occurs in data analysis is a major factor that hinders data utilization. Recently, as privacy violation attacks on neural network models have been proposed. researches on artificial neural network technology that preserves privacy is required. Therefore, various privacy preserving artificial neural network technologies have been studied in the field of differential privacy that ensures strict privacy. However, there are problems that the balance between the accuracy of the neural network model and the privacy budget is not appropriate. In this paper, we study differential privacy techniques that preserve the performance of a model within a given privacy budget and is resistant to model inversion attacks. Also, we analyze the resistance of model inversion attack according to privacy preservation strength.

• Informatization Policy
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• v.26 no.2
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• pp.81-95
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• 2019

This study explores how the advanced data analysis capabilities of intelligent information technology are being utilized in politics. In particular, we focus on the fact that voter behavioral targeting in election campaigns comes into conflict with the democratic process in various ways. For this purpose, this study examines political micro-targeting and political bots. It is aimed at showing that these technology-based campaign techniques work as a factor preventing free expression of opinions and discussions, which are the core of democracy itself. Then we identify the attributes of the algorithm that affects them. As a result, this study suggests that the following issues might arise regarding intelligent information technology-based politics and democracy. First, inequality in political participation becomes more severe. Second, the public debate between voters gets more difficult. Third, superficial politics is prevalent. Fourth, single-issue politics and the exclusion of political representation is likely to increase. Fifth, political privacy might also be invaded. Based on our discussions, this study concludes that it is our role to find ways by which intelligent information technology and democracy can coexist.

• The Journal of Korean Institute of Information Technology
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• v.17 no.5
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• pp.105-116
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• 2019

Most of the public and private buildings in Korea are installing CCTV for crime prevention and follow-up action, insider security, facility safety, and fire prevention, and the number of installations is increasing each year. In the questionnaire conducted on the increasing CCTV, many reactions were positive in terms of the prevention of crime that could occur due to the installation, rather than negative views such as privacy violation caused by CCTV shooting. However, CCTV poses a lot of privacy risks, and when the image data is collected using the cloud, the personal information of the subject can be leaked. InseCam relayed the CCTV surveillance video of each country in real time, including the front camera of the notebook computer, which caused a big issue. In this paper, we introduce a system to prevent leakage of private information and enhance the security of the cloud system by processing the privacy technique on image information about a subject photographed through CCTV.

• Convergence Security Journal
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• v.22 no.2
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• pp.59-66
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• 2022

Recently, smart home technology has been developed with a great response due to the convenience of home automation. Smart home technology provides various services by connecting various Internet of Things (IoT) and sensors to a home network through wired/wireless networks. In addition, the smart home service easily and conveniently controls lighting, energy, environment, and door cameras through a wall pad. However, while it has become a social issue due to the recent hacking accident of wall pads, personal information leakage and privacy infringement are expected. Accordingly, it is necessary to prepare preventive and countermeasures against security vulnerability factors of wall pads. Therefore, this study expects that it can be used as basic data for future smart home application and response technology development by examining the weak causes and countermeasures related to wall pads.