• Convergence Security Journal
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• v.19 no.5
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• pp.63-73
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• 2019

In the 4th Industrial Revolution, information is collected and analyzed from people and objects through the rapid development of ICT. It is possible to create value. However, there are many legal and institutional restrictions on the collection of information aimed at people.Therefore, in-depth research on the protection and use of personal information in the rapidly changing cyber security environment is needed. The purpose of this study is to protect and utilize personal information for the operation of AI (Artificial Intelligence) and big data during the 4th Industrial Revolution. It is to seek a paradigm shift. The organization of the research for this is: Chapter 1 examines the meaning of personal information during the 4th Industrial Revolution, Chapter 2 presents the framework for the review and analysis of prior research. In Chapter 3, after analyzing policies for the protection and utilization of personal information in major countries, Chapter 4 looks at the paradigm shift in personal information protection during the 4th Industrial Revolution and how to respond. Chapter 5 made some policy suggestions for the protection and utilization of personal information.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.215-220
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• 2019

The block chain technology is a technique that prevents manipulation of data and ensures integrity and reliability. Ethereum is building a smart contract environment as a type of encryptionenabled system based on block chains. Smart contracts can be implemented when conditions are met, thus increasing confidence in digital data. However, smart contracts that are being tried in various ways are not covered by information security and personal information protection. The structure in which the network participant can view the open transaction ledger is exposed to data or personal information listed in the block chain. In this study, it is possible to manage the data of personal information recorded in the block chain directly. This study is protected personal information by preventing the exposure of personal information and by executing time code, it is possible to erase recorded information after a certain period of time has elapsed. Based on the proposed system in the future, it is necessary to study the additional management techniques of unknown code defects or personal information protection.

• Smart Media Journal
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• v.8 no.1
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• pp.9-18
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• 2019

In the era of the 4th industrial revolution, the big data industry is gathering attention for new business models in the public and private sectors by utilizing various information collected through the internet and mobile. However, although the big data integration and analysis are performed with de-identification techniques, there is still a risk that personal privacy can be exposed. Recently, there are many studies to invent effective methods to maintain the value of data without disclosing personal information. In this paper, a personal information protection system is investigated to boost big data utilization in industrial sectors, such as healthcare and agriculture. The criteria for evaluating the de-identification adequacy of personal information and the protection scope of personal information should be differently applied for each industry. In the field of personal sensitive information-oriented healthcare sector, the minimum value of k-anonymity should be set to 5 or more, which is the average value of other industrial sectors. In agricultural sector, it suggests the inclusion of companion dogs or farmland information as sensitive information. Also, it is desirable to apply the demonstration steps to each region-specific industry.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.575-589
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• 2020

Along with the exponential growth of data businesses, the importance of data containing personal information of use have also increaseing. Particularly, in Korea, as the Data 3 Act was implemented, companies can use personal information more actively through regulatory improvement and stipulation in case of using data containing personal information. In this situation as per the service use, self-sovereign identity technology has emerged that can minimize the provision of personal information in relation to real name authentication and provision of personal information. Recently, services and studies using blockchain have been actively conducted in case of using the self-sovereign identity function for clarity and verification of records according to the use of personal information. In this thesis, by analyzing the characteristics of domestic self-sovereign identity service and the current status and contents of research related to blockchain-based self-sovereign identity technology and we suggest a research direction based on self-sovereign identity technology to reinforce the sovereignty of personal information in the era of the 3rd Data Act do.

• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.1
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• pp.19-25
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• 2024

This paper proposes an artificial intelligence-based personal information area object detection optimization method in an embedded system to de-identify personal information in video data. As an object detection optimization method, first, in order to increase the detection rate for personal information areas when detecting objects, a gyro sensor is used to collect the shooting angle of the image data when acquiring the image, and the image data is converted into a horizontal image through the collected shooting angle. Based on this, each learning model was created according to changes in the size of the image resolution of the learning data and changes in the learning method of the learning engine, and the effectiveness of the optimal learning model was selected and evaluated through an experimental method. As a de-identification method, a shuffling-based masking method was used, and double-key-based encryption of the masking information was used to prevent restoration by others. In order to reuse the original image, the original image could be restored through a security key. Through this, we were able to secure security for high personal information areas and improve usability through original image restoration. The research results of this paper are expected to contribute to industrial use of data without personal information leakage and to reducing the cost of personal information protection in industrial fields using video through de-identification of personal information areas included in video data.

• Korean Management Science Review
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• v.14 no.2
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• pp.199-223
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• 1997

This paper represents an exploratory effort to test empirically the contingent relationships between the contextual variables, such as user task characteristics and personality, and the information characteristics of Accounting Information Systems (AIS), and to prove the effects of influence factors on the increase of personal office productivity. In this study, it was suggested that personal office productivity is influenced by the fit between the contextual variables and the information dimensions of ALS. It was also proved that influence factors have a positive effect on the increase of personal office productivity.

• Convergence Security Journal
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• v.11 no.5
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• pp.99-108
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• 2011

The purpose of this study is to profile actual conditions of personal information protection systems operated in overseas countries and examine major considerations of personal information that security service providers must know in the capacity of privacy information processor, so that it may contribute to preventing potential occurrence of any legal disputes in advance. Particularly, this study further seeks to describe fundamental idea and principle of said Personal Information Protection Act; enhancement of various safety measures (e.g. collection / use of privacy data, processing of sensitive information / personal ID information, and encryption of privacy information); restrictions on installation / operation of video data processing devices; and penal regulations as a means of countermeasure against leakage of personal information, while proposing possible solutions to cope with these matters. Using cases among foreign countries for this study. Possible solutions proposed by this study can be summed up as follows: By changing minds with sufficient legal reviews, it is required for security service providers to 1) clearly and further specify any purposes of collecting and using privacy information, if possible, 2) obtain any privacy information by legitimate means as it is necessary to collect such information, 3) stop providing any personal information for the 3rd parties or for any other purposes except fundamental purposes of using privacy information, and 4) have full knowledge about duty of safety measure in accordance with safe maintenance of privacy information and protect any personal information from unwanted or intentional leakage to others.

• International Journal of Knowledge Content Development & Technology
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• v.9 no.1
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• pp.19-42
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• 2019

This study examined activities involving the finding, organizing, managing, and re-finding of information by knowledge workers in Kuwait. This research also conducted a review of the tools needed for effective personal information management (PIM) and assessed perceptions about improving PIM through Internet use. Data were collected through semi-structured interviews conducted among 26 graduates of the Department of Information Studies at Kuwait University. These participants are currently employed in different sectors engaged in a variety of information-related activities. This study's findings indicated that participants gathered different types of information from a variety of sources. This information was stored using several devices and services, including desktop computers, shared drives, clouds, bookmarked websites, e-mail correspondence, and favorites lists. Participants organized information in personal folders according to categories such as subject/topic, time, project, document type, and geographical region. Preferred methods for information re-finding included searching by keyword and browsing through folders. Interviewees reported problems of information overload, fragmentation, and anxiety. Most were active in social media via mobile device, while some of them used Siri or Ask Google to retrieve information. Tools used for PIM included calendars, tasks, schedules, e-mail management tools, clouds, and social networking tools. Participants reported that the Internet helped with personal information management practices, but that some privacy issues arose in this context.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.1
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• pp.199-213
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• 2018

Since 2008, large-scale personal information breach incidents have occurred frequently. Even though national education, policy, and laws have been enacted and implemented to resolve the issue, personal information breaches still occur. Currently, individuals cannot confirm detailed information about what personal information has been affected, and they cannot respond to the breaches. Therefore, it is desirable to develop various methods for preventing and responding to personal information infringement caused by breach and leakage incidents and move to privacy protection behaviors. The purpose of this study is to create understanding of personal information security and information breach, to present services that can prevent breaches of personal information, to investigate the necessity of and analyze the potential public demand for such services, and to provide direction for future privacy-related information services.

• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1034-1047
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• 2020

The personal authentication technique is an essential tool in this complex and modern digital information society. Traditionally, the most general mechanism of personal authentication was using alphanumeric passwords. However, passwords that are hard to guess or to break, are often hard to remember. There are demands for a technology capable of replacing the text-based password system. Graphical passwords can be an alternative, but it is vulnerable to shoulder-surfing attacks. This paper looks through a number of recently developed graphical password systems and introduces a personal authentication system using a machine learning technique with electroencephalography (EEG) signals as a new type of personal authentication system which is easier for a person to use and more difficult for others to steal than other preexisting authentication systems.