• Asia pacific journal of information systems
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• v.24 no.1
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• pp.93-112
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• 2014

As personal data breach reared up as a problem domestically and globally, organizations appointing chief privacy officers (CPOs) are increasing. Related Korean laws, 'Personal Data Protection Act' and 'the Act on Promotion of Information and Communication Network Utilization and Information Protection, etc.' require personal data processing organizations to appoint CPOs. Research on the characteristics and role of CPO is called for because of the importance of CPO being emphasized. There are many researches on top management's role and their impact on organizational performance using the Upper Echelon theory. This study investigates what influence the characteristics of CPO gives on the organizational privacy performance. CPO's definition varies depending on industry, organization size, required responsibility and power. This study defines CPO as 'a person who takes responsibility for all the duties on handling the organization's privacy,' This research assumes that CPO characteristics such as role, personality and background knowledge have an influence on the organizational privacy performance. This study applies the part relevant to the upper echelon's characteristics and performance of the executives (CEOs, CIOs etc.) for CPO. First, following Mintzberg and other managerial role classification, information, strategic, and diplomacy roles are defined as the role of CPO. Second, the "Big Five" taxonomy on individual's personality was suggested in 1990. Among these five personalities, extraversion and conscientiousness are drawn as the personality characteristics of CPO. Third, advance study suggests complex knowledge of technology, law and business is necessary for CPO. Technical, legal, and business background knowledge are drawn as the background knowledge of CPO. To test this model empirically, 120 samples of data collected from CPOs of domestic organizations are used. Factor analysis is carried out and convergent validity and discriminant validity were verified using SPSS and Smart PLS, and the causal relationships between the CPO's role, personality, background knowledge and the organizational privacy performance are analyzed as well. The result of the analysis shows that CPO's diplomacy role and strategic role have significant impacts on organizational privacy performance. This reveals that CPO's active communication with other organizations is needed. Differentiated privacy policy or strategy of organizations is also important. Legal background knowledge and technical background knowledge were also found to be significant determinants to organizational privacy performance. In addition, CPOs conscientiousness has a positive impact on organizational privacy performance. The practical implication of this study is as follows: First, the research can be a yardstick for judgment when companies select CPOs and vest authority in them. Second, not only companies but also CPOs can judge what ability they should concentrate on for development of their career relevant to their job through results of this research. Cultural social value, citizen's consensus on the right to privacy, expected CPO's role will change in process of time. In future study, long-term time-series analysis based research can reveal these changes and can also offer practical implications for government and private organization's policy making on information privacy.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.189-200
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• 2011

With rapid development and contribution of IT technology IT fushion healthcare service which is a form of future care has been changed a lot. Specially, as IT technology unites with healthcare, because delicate personal medical information is exposed and user's privacy is invaded, we need preperation. In this paper, u-healthcare service model which can manage patient's ID information as user's condition and access level is proposed to protect user's privacy. The proposed model is distinguished by identification, certification of hospital, access control of medical record, and diagnosis of patient to utilize it efficiently in real life. Also, it prevents leak of medical record and invasion of privacy by others by adapting user's ID as divided by user's security level and authority to protect privacy on user's information shared by hospitals.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4680-4700
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• 2015

Broadcast encryption is an efficient way to distribute confidential information to a set of receivers using broadcast channel. It allows the broadcaster to dynamically choose the receiver set during each encryption. However, most broadcast encryption schemes in the literature haven't taken into consideration the receiver's privacy protection, and the scanty privacy preserving solutions are often less efficient, which are not suitable for practical scenarios. In this paper, we propose an efficient dynamic anonymous broadcast encryption scheme that has the shortest ciphertext length. The scheme is constructed over the composite order bilinear groups, and adopts the Lagrange interpolation polynomial to hide the receivers' identities, which yields efficient decryption algorithm. Security proofs show that, the proposed scheme is both secure and anonymous under the threat of adaptive adversaries in standard model.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.213-225
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• 2019

Privacy paradox is a paradoxical behavior that provides personal information even though you are concerned about privacy. Social media users are also often concerned about their personal information exposure. It is even reluctant to describe personal information in profile. However, some users describe their personal information in detail on their profile, provide it freely when others request it, or post their own personal information. The survey was conducted using Google Docs centered on Facebook users. Structural equation model analysis was used for hypothesis testing. As an independent variable, we use personal information infringement experiences. As a mediator, we use privacy indifference, privacy concern, and the relationship with the act of providing personal information. Social media users have become increasingly aware of the fact that they can not distinguish between the real world and online world by strengthening their image and enhancing their image in the process of strengthening ties, sharing lots of information and enjoying themselves through various relationships. Therefore, despite the high degree of privacy indifference and high degree of privacy concern, the phenomenon of privacy paradox is also present in social media.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.15 no.7
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• pp.545-552
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• 1990

This paper is concerned with the file protection in the file transfer systems. In the existing file transfer systems, passwords are used in the protection but do not provide any data protection and can only provide some protection against unauthorized access. Even provided with this protection, we cannot be free form computer hackers. In order to achieve higher standards of protection for our privacy (protection for data themselves, authentication of senders...) analternative technical system should be developed in using of pulic key cryptography by choosing the public key method (RSA public key) in the file transfer. A new system suggested in the paper can achieve some higher standards of protection for our privacy. We a result thie system will be easily applied to various document handling systems as in the data base.

• Journal of KIISE
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• v.45 no.1
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• pp.45-52
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• 2018

With the advent of BCI technology in recent years, various BCI products have been released. BCI technology enables brain information to be transmitted directly to a computer, and it will bring a lot of convenience to life. However, there is a problem with information protection. In particular, EEG data can raise issues about personal privacy. Collecting and analyzing big data on EEG reports raises serious concerns about personal information exposure. In this paper, we propose a secure privacy-preserving BCI model in a big data environment. The proposed model could prevent personal identification and protect EEG data in the cloud environment.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.4
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• pp.437-444
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• 2008

This paper deals with the biometric template protection in the biometric system which has been widely used for personal authentication. First, we consider the structure of the biometric system and the function of its sub-systems and define the biometric template and identification(ID) information. And then, we describe the biometric template attack points of a biometric system and attack examples and provide their countermeasures. From this, we classify the vulnerability which can be protected by encryption and hashing techniques. For more detail investigation of these at real operating situations, we analyze them and suggest several protection methods for the typical application scheme of biometric systems such as local model, download model, attached model, and center model. Finally, we also handle the privacy problem which is most controversy issue related to the biometric systems and suggest some guidances of safeguarding procedures on establishing privacy sympathy biometric systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.9
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• pp.2589-2604
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• 2024

Brain tumors, characterized by uncontrollable cellular growths, are a significant global health challenge. Navigating the complexities of tumor identification due to their varied dimensions and positions, our research introduces enhanced methods for precise detection. Utilizing advanced learning techniques, we've improved early identification by preprocessing clinical dataset-derived images, augmenting them via a Generative Adversarial Network, and applying an Improved Privacy-Preserving Collaborative Convolutional Neural Network (IPC-CNN) for segmentation. Recognizing the critical importance of data security in today's digital era, our framework emphasizes the preservation of patient privacy. We evaluated the performance of our proposed model on the Figshare and BRATS 2018 datasets. By facilitating a collaborative model training environment across multiple healthcare institutions, we harness the power of distributed computing to securely aggregate model updates, ensuring individual data protection while leveraging collective expertise. Our IPC-CNN model achieved an accuracy of 99.40%, marking a notable advancement in brain tumor classification and offering invaluable insights for both the medical imaging and machine learning communities.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.223-233
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• 2022

In this paper, we examined the causes of information privacy concerns, trust and related factors in social network services. On the basis of the 'elaboration likelihood model,' we established factors such as information quality, privacy policy, perceived SNS app popularity and optimism bias affecting information privacy concern of SNS users. In addition, we analyzed the relationship between information privacy concern, trust in SNS members, trust in SNS platform and intention to use. Finally, on the basis of the 'trust transfer theory', we analyzed the relationship between trust in SNS members and trust in SNS platform. The results of the study showed that (1) information quality, privacy policy and optimism bias had the significant effects on information privacy concerns, (2) perceived SNS app popularity didn't affect information privacy concerns, (3) information privacy concerns had the significant effects on trust in SNS platforms (4) in accordance with the trust transfer theory, trust in SNS members had the significant effect on trust in SNS platforms, and (5) trust in SNS members had the significant effect on intention to use, while trust in SNS platform didn't have the significant effect on intention to use. The findings of the study are expected to help to improve the SNS firms' understanding towards customers' information privacy protection behaviors and trust.

• Journal of Information Processing Systems
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• v.1 no.1 s.1
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• pp.22-26
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• 2005

In this paper, we classified the objectionable texts into four rates according to their harmfulness and proposed the hierarchical text rating system for objectionable documents. Since the documents in the same category have similarities in used words, expressions and structure of the document, the text rating system, which uses a single classification model, has low accuracy. To solve this problem, we separate objectionable documents into several subsets by using their properties, and then classify the subsets hierarchically. The proposed system consists of three layers. In each layer, we select features using the chi-square statistics, and then the weight of the features, which is calculated by using the TF-IDF weighting scheme, is used as an input of the non-linear SVM classifier. By means of a hierarchical scheme using the different features and the different number of features in each layer, we can characterize the objectionability of documents more effectively and expect to improve the performance of the rating system. We compared the performance of the proposed system and performance of several text rating systems and experimental results show that the proposed system can archive an excellent classification performance.