• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.125-139
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• 2013

Big data refers to the data that cannot be processes with conventional contemporary data technologies. As smart devices and social network services produces vast amount of data, big data attracts much attention from researchers. There are strong demands form governments and industries for bib data as it can create new values by drawing business insights from data. Since various new technologies to process big data introduced, academic communities also show much interest to the big data domain. A notable advance related to the big data technology has been in various fields. Big data technology makes it possible to access, collect, and save individual's personal data. These technologies enable the analysis of huge amounts of data with lower cost and less time, which is impossible to achieve with traditional methods. It even detects personal information that people do not want to open. Therefore, people using information technology such as the Internet or online services have some level of privacy concerns, and such feelings can hinder continued use of information systems. For example, SNS offers various benefits, but users are sometimes highly exposed to privacy intrusions because they write too much personal information on it. Even though users post their personal information on the Internet by themselves, the data sometimes is not under control of the users. Once the private data is posed on the Internet, it can be transferred to anywhere by a few clicks, and can be abused to create fake identity. In this way, privacy intrusion happens. This study aims to investigate how perceived personal information overload in SNS affects user's risk perception and information privacy concerns. Also, it examines the relationship between the concerns and user resistance behavior. A survey approach and structural equation modeling method are employed for data collection and analysis. This study contributes meaningful insights for academic researchers and policy makers who are planning to develop guidelines for privacy protection. The study shows that information overload on the social network services can bring the significant increase of users' perceived level of privacy risks. In turn, the perceived privacy risks leads to the increased level of privacy concerns. IF privacy concerns increase, it can affect users to from a negative or resistant attitude toward system use. The resistance attitude may lead users to discontinue the use of social network services. Furthermore, information overload is mediated by perceived risks to affect privacy concerns rather than has direct influence on perceived risk. It implies that resistance to the system use can be diminished by reducing perceived risks of users. Given that users' resistant behavior become salient when they have high privacy concerns, the measures to alleviate users' privacy concerns should be conceived. This study makes academic contribution of integrating traditional information overload theory and user resistance theory to investigate perceived privacy concerns in current IS contexts. There is little big data research which examined the technology with empirical and behavioral approach, as the research topic has just emerged. It also makes practical contributions. Information overload connects to the increased level of perceived privacy risks, and discontinued use of the information system. To keep users from departing the system, organizations should develop a system in which private data is controlled and managed with ease. This study suggests that actions to lower the level of perceived risks and privacy concerns should be taken for information systems continuance.

• Journal of Convergence Society for SMB
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• v.5 no.3
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• pp.27-31
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• 2015

As the number of smartphone users is increasing with the development of mobile devices, the range of monetary transaction from the individual use is increasing. Therefore, hacking methods are diversified and the information forgery of mobile devices has been a current issue. The forgery via apps in mobile devices is a hacking method that creates an app similar to well-known apps to deceive the users. The forgery attack corresponds to the violation of integrity, one of three elements of security. Due to the forgery, the value and credibility of an app decreases with the risk increased. With the forgery in app, private information and data can be stolen and the financial losses can occur. This paper examined the forgery, and suggested a way to detect it, and sought the countermeasure to the forgery.

• Convergence Security Journal
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• v.16 no.6_2
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• pp.89-97
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• 2016

Disclosure of personal information to be carried out in one of the Administrative Publicity, Administrative agency as specific information about the person who has violated the obligation imposed by the law is an unspecified number people know is through the direct or Internet media it is to be disclosed in an unspecified number of people. This is, indirect sanctions so as to fulfill its obligations by the addition of psychological pressure that exposes the personal information of the fact that in breach of his obligations to the breach of duty and it has been an unspecified number of people know it is a means. However, publication of these personal information, infringement of the moral rights of the Constitution guarantees an individual, of course, not only a matter of law that the right to self-determination of the personal information, has continued also doubts for the effectiveness of the system. As a result, in this paper, to discuss legal issues with the disclosure of management personal information and its improvement measures, and expected to be able to take advantage of the efficient development of the future of personal information disclosure system.

• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.93-100
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• 2020

Although various home services are developed as increasing the number of home devices with wire and wireless connection, privacy infringement and private information leakage are occurred by unauthorized remote connection. It is almost caused by without of device authentication and protection of transmission data. In this paper, the devices' secret value are stored in a safe memory of a smartphone. A smartphone processes device authentication. In order to prevent leakage of a device's password, a shadow password multiplied a password by the private key is stored in a device. It is proposed mutual authentication between a smartphone and a device, and session key agreement for devices using recovered passwords on SRP. The proposed protocol is resistant to eavesdropping, a reply attack, impersonation attack.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.5
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• pp.903-910
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• 2024

Complex semantic segmentation tasks are primarily performed in server environments equipped with high-performance graphics hardware such as GPUs and TPUs. This cloud-based AI inference method operates by transmitting processed results to the client. However, this approach is dependent on network communication and raises concerns about privacy infringement during the process of transmitting user data to servers. Therefore, this paper proposes a Generalized On-Device Framework for Semantic Segmentation that can operate in mobile environments with high accessibility to people. This framework supports various semantic segmentation models and enables direct inference in mobile environments through model conversion and efficient memory management techniques. It is expected that this research approach will enable effective execution of semantic segmentation algorithms even in resource-constrained situations such as IoT devices, autonomous vehicles, and industrial robots, which are not cloud computing environments. This is expected to contribute to the advancement of real-time image processing, privacy protection, and network-independent AI application fields.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1515-1525
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• 2018

Security threats in the 4th Industrial Revolution have expanded to the issue of safety, but the environment for information security of domestic companies is still at a low level. This study aims to propose policy implications by empirically analyzing factors affecting investment intention. We investigated the state of information security and protection behavior and expanded UTAUT to investigate correlations. The results showed that information assets affect facilitating conditions, and perceived and new concerns have impacts on social influence. Social influence affect experience and habits, but the impact on security investment intentions was rejected. Facilitation conditions, previous experiences and habits have great influences on investment intention, new service security investment intention. The influence of perceived and new concern are low or rejected. There are moderating effects between types of business, size, security organization, experience of infringement, security personnel ratio, and personal information collection. This study will help to establish policies for enhancing the level of information security.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.283-290
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• 2015

As society has evolved to the knowledge and information society, the importance of internal information of the company has increased gradually. Especially in financial institutions which must maintain the trust of customers, the disclosure of inside information is a big problem beyond the a company's business information disclosure level to break down sales-based businesses because it contains personal or financial transaction information. Recently, since massive outflow of internal information are occurring in several enterprises, many companies including financial companies have been working a lot in order to prevent the leakage of customer information. This paper describes the internal information leakage incidents occurred in the finance companies, the PC security vulnerabilities exists despite the main security system and internal information leakage prevention and suggests countermeasures against increasing cyber infringement threats.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.2
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• pp.374-379
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• 2005

In the most of medical institution medical information is totally stored in a database and many number of researchers and staffs of the hospital access these information anytime. This can be caused patient's privacy to be violated. Introducing a tool for security should be considered as one of the most important requirement especially in the case that today's medical information service expands into an integrated one. In this paper we review the matters of security threat on a medical information system and propose a secure medical information service model equipped on mobile device such as PDA. Also we propose a security architecture employing a digital signature mechanism to protect the personal information on the model. Proposed architecture can lead the doctor to diagnose with high responsibility, help to build a reliable medical information system. and through the signed data, we can get some useful information against medical strife.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.6
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• pp.778-783
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• 2018

With the rapid advancement of information and communication technology and industrial technologies, a hyper-connected society is being realized to connect human beings, all programs and things via the Internet. IoT (Internet of Thing), which connects a thing and another thing, and things and human beings, gathers information to realize the hyper-connected society. MQTT (Message Queuing Telemetry Transport) is a push-technology-based light message transmission protocol that was developed to be optimized to the limited communication environment such as IoT. In pursuing the hyper-connected society, IoT's sensor environment information is now being used as a wide range of information on people's diseases and health management. Thus, security problems of such MQTT include not only the leak of environmental information but also the personal information infringement. To resolve such MQTT security problems, we have designed a new security MQTT communication by applying the initial-value sensitivity and pseudorandomness of the chaotic system to the integrity and confidentiality. The encryption method using our proposed chaotic system offers a simple structure and a small amount of calculation, and it is deemed to be suitable to the limited communication environment such as IoT.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.6
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• pp.97-109
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• 2010

Although the primary liability for online copyright infringement may fall on the individual who illegally copies, transfers, and/or distributes the copyrighted content, the issue of indirect liability for Online Service Providers (OSPS) that provide a channel for the distribution of illegal content has recently come under the spotlight. Currently, in an effort to avoid liability for indirect copyright infringement and improve their reputation, most OSPs have voluntarily applied filtering technology. Under the Copyright Act of Korea, special types of OSPS including P2P and Web-based Hard Drive (WebHard) are required to incorporate filtering technology, and may be charged with penalties if found without one. However, despite the clear need for filtering mechanisms, several arguments have been set forth that question the efficacy and appropriateness of the system. As such, this paper discusses the liability theory adopted in the US. -a leader in internet technology development-and analyzes the scope of liability and filtering related regulations in our copyright law. In addition, this paper considers the current applications of filtering as well as limits of the applied filtering technology in OSPS today. Finally, we make four suggestions to improve filtering in Korea, addressing issues such as clarifying the limits and responsibilities of OSPS, searching for cooperative solutions between copyright holders and OSPS, standardizing the filtering technology to enable compatibility among different filtering techniques, and others.