• The KIPS Transactions:PartC
• /
• v.8C no.5
• /
• pp.499-506
• /
• 2001

In this work, we present an iris pattern recognition method as a biometrically based technology for personal identification and authentication For this, we propose a new algorithm for extracting an unique feature from the iris of the human eye and representing this feature using the discrete Walsh-Hadamard transform. From the computational simplicity of the adopted transform, this can perform the personal identification and authentication in a fast manner to accomplish the information security.

• Convergence Security Journal
• /
• v.22 no.5
• /
• pp.11-20
• /
• 2022

As the Internet and web technology develop around mobile devices, image data contains various types of sensitive information such as people, text, and space. In addition to these characteristics, as the use of SNS increases, the amount of damage caused by exposure and abuse of personal information online is increasing. However, research on de-identification technology based on multi-type object detection for personal information protection is insufficient. Therefore, this paper proposes an artificial intelligence model that detects and de-identifies multiple types of objects using existing single-type object detection models in parallel. Through cutmix, an image in which person and text objects exist together are created and composed of training data, and detection and de-identification of objects with different characteristics of person and text was performed. The proposed model achieves a precision of 0.724 and mAP@.5 of 0.745 when two objects are present at the same time. In addition, after de-identification, mAP@.5 was 0.224 for all objects, showing a decrease of 0.4 or more.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.30 no.2
• /
• pp.287-304
• /
• 2020

There have been a number of legal & policy studies on the affecting factors of big data utilization, but empirical research on the composition factors of personal information regulation or data combination, which acts as a constraint, has been hardly done due to the lack of relevant statistics. Therefore, this study empirically explores the priority of personal information regulation factors and data combination factors that influence big data utilization through Delphi Analysis. As a result of Delphi analysis, personal information regulation factors include in order of the introduction of pseudonymous information, evidence clarity of personal information de-identification, clarity of data combination regulation, clarity of personal information definition, ease of personal information consent, integration of personal information supervisory authority, consistency among personal information protection acts, adequacy punishment intensity in case of violation of law, and proper penalty level when comparing EU GDPR. Next, data combination factors were examined in order of de-identification of data combination, standardization of combined data, responsibility of data combination, type of data combination institute, data combination experience, and technical value of data combination. These findings provide implications for which policy tasks should be prioritized when designing personal information regulations and data combination policies to utilize big data.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.9 no.3
• /
• pp.119-127
• /
• 2013

The merits of Smartphone are portability, convenience and especially a lot of information can be stored in the device. Especially in Smartphone, users can install programs that cannot install to normal cell phone and users can use many different services through these Smartphone programs. Also Smartphone can connect to Internet through network, so it can access information anytime, anywhere easily. Security of personal information and variety of information which stored in Smartphone are in risk. In Chapter 2 of thesis, it will discuss the definition and features of the Smartphone and market trends. In Chapter 3 of thesis, it will discuss security vulnerabilities of Smartphone and it will analyze and research security vulnerabilities of Smartphone in Chapter 4. In conclusion, it will check users' identification twice in useful application especially application that relate to finance and mobile payment. By checking users' identification several times, it will help to defend from security threats. Users can use Smartphone safely and convenience by know how to prevent from mobile hacking for personal and private information. the quality of APIs matching by the clustering and hierarchical relationships mechanism.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.340-343
• /
• 2016

The Korean government published the personal information de-identification guideline on June 2016, which were made by related government ministries. The guideline's objective is that the invigoration of Korean bigdata industry on personal information protection under the current laws. However, if there is some unreasonable method or process in the guideline, it can be an obstacle to bigdata analysis. This article will review the guideline to find defects in methods and processes of de-identification evaluation, de-identification support and data-linkage and then propose the best solutions to improve them. Lastly, this article will mention how these solutions can invigorate Fintech industry.

• Convergence Security Journal
• /
• v.10 no.4
• /
• pp.1-11
• /
• 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 the Korea Institute of Information Security & Cryptology
• /
• v.22 no.2
• /
• pp.379-390
• /
• 2012

This study is to consider political implication of indicators to measure personal information security in public sector studied by Ministry of Public Adminstration and Security from 2008 to 2011. The study analyzed the priority of personal information security policy dividing into personal information security infrastructure, personal information management with life cycle, correspondence of information infringement by scholars, experts, and chargers. As the results, to progress personal information security policy is important to management of personal identification information on web site; specially institutional infrastructure as responsible organization, exclusive manpower, and security budget; personal information security infrastructure. As like the results, it would be reflected in the progress of personal information security policy and tried to provide systematic management program with improving safe information distribution and usefulness.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.25 no.3
• /
• pp.673-689
• /
• 2015

Resident Registration Number(RRN) has been used broadly by public institutions or civilian departments as a means of personal identification due to its effectiveness and convenience in managing the information. Recently, because of personal information leakage including resident registration number, the potential damage is increasing public anxiety. In this situation, there have been demands requiring systems that can end the link between the resident registration number and personal information. In order to solve the problem, multiple alternatives are under consideration. In this research, we will discuss limits, needs for change of the system, and the basic concepts or traits that new registration number require. Also, by comparing the alternatives being discussed, we will analyze personal information security level and the cost required for reorganizing the system to present alternative that has high effectiveness.

• Journal of Information Processing Systems
• /
• v.15 no.4
• /
• pp.785-796
• /
• 2019

Due to the view point, illumination, personal gait and other background situation, person re-identification across cameras has been a challenging task in video surveillance area. In order to address the problem, a novel method called Joint Bayesian across different cameras for person re-identification (JBR) is proposed. Motivated by the superior measurement ability of Joint Bayesian, a set of Joint Bayesian matrices is obtained by learning with different camera pairs. With the global Joint Bayesian matrix, the proposed method combines the characteristics of multi-camera shooting and person re-identification. Then this method can improve the calculation precision of the similarity between two individuals by learning the transition between two cameras. For investigating the proposed method, it is implemented on two compare large-scale re-ID datasets, the Market-1501 and DukeMTMC-reID. The RANK-1 accuracy significantly increases about 3% and 4%, and the maximum a posterior (MAP) improves about 1% and 4%, respectively.

• KIPS Transactions on Computer and Communication Systems
• /
• v.2 no.12
• /
• pp.511-516
• /
• 2013

The cases of identification forgery and counterfeiting are increasing under the current identification system, which was established based on social conditions and administrative environments over 20 years ago. This leads to an increase of various criminal acts including illegal loan using fake ID and a number of damages caused out of good intentions that result in interference with the operations of public organizations. In addition, according to the advancement of information society, privacy protection has emerged as an important issue. However, ID card exposes individuals' personal information, such as names, resident registration numbers, photos, addresses and fingerprints, and thus the incidents associated with illegal use of personal information are increasing continuously. Accordingly, this study aimed at examining the issues of ID card forgery/counterfeiting and privacy protection and at proposing a next-generation identification system to supplement such weaknesses. The top priority has been set as prevention of forgery/counterfeiting and privacy protection in order to ensure the most important function of national identification system, which is user identification.