• Title/Summary/Keyword: Personal-Information

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대학정보시스템의 도입성과에 영향을 미치는 요인에 관한 연구

  • Gang, Mun-Seok;Jeong, Yeong-Su;Jeong, Cheol-Ho
    • Proceedings of the Korea Database Society Conference
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    • 2010.06a
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    • pp.65-74
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    • 2010
  • Most university has provided the information system that fit with their university peculiarity only, but there is not proper evaluation on the user satisfaction by that. In this study, first of all, it analysed which factors give satisfaction to the users when university operated the information systems and inquired the needed outcome variables in order to operate successful university information system. Through the inquisition of fitting supposition, we got something that organizational support and computer self efficacy which is personal factors were effected as an affirmative side to make a user satisfactions of information system. In more detail, organizational support and personal factors effected as an affirmative side to the quality of information system. And, so the quality of information system was influenced to user satisfaction that it raised the work result and increased the work products in organization through personal outcomes.

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Study on video information regulation and VPIC compliance issues in GDPR

  • Ryu, Ki-Il;Cho, Young-Im
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.6
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    • pp.41-48
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    • 2017
  • All the personal information controllers or processors collecting, processing and storing personal information through the entry into force of the EU GDPR (General Data Protection Regulation) are required to provide the basic principle of privacy by design at all stages of developing products or services throughout the organization, And to ensure that the basic rights of the subject of personal information are protected and that internal control techniques are provided to prevent any abuse or leakage. We will review the regulations and countermeasures required by the GDPR for video information with serious privacy problems, and propose a solution.

Mutual Friendly Force Identification Protocol based on Hash-Chain for Personal Combat Systems

  • Lee, Jongkwan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.9
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    • pp.3858-3869
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    • 2020
  • In this paper, we propose a hash-chain based friendly force identification protocol for personal combatants equipped with a personal combat system in a tactical wireless network. It is imperative in military operations to effectively and quickly identify friendly forces. If the identification of friendly forces is not correct, this can cause friendly fire. In current ground operations, the identification of friendly forces by personal combatants is neither secure nor safe. To address this issue, the proposed protocol uses a hash-chain to determine if a detected person is friendly. Only friendly forces with the same materials that are assigned before they deploy can construct an initial hash-chain. Moreover, the hash-chain is changed at specific times. The performance of the proposed protocol is evaluated on the assumption that the secret key is leaked, which is the worst scenario in the security research field. We verify that the proposed protocol is secure for the various attack scenarios, such as message replay attack, fabrication attack, and Denial of Service attack.

Customized Resource Collaboration System based on Ontology and User Model in Resource Sharing Environments

  • Park, Jong-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.4
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    • pp.107-114
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    • 2018
  • Recently, various wearable personal devices such as a smart watch have been developed and these personal devices are being miniaturized. The user desires to receive new services from personal devices as well as services that have been received from personal computers, anytime and anywhere. However, miniaturization of devices involves constraints on resources such as limited input and output and insufficient power. In order to solve these resource constraints, this paper proposes a resource collaboration system which provides a service by composing sharable resources in the resource sharing environment like IoT. the paper also propose a method to infer and recommend user-customized resources among various sharable resources. For this purpose, the paper defines an ontology for resource inference. This paper also classifies users behavior types based on a user model and then uses them for resource recommendation. The paper implements the proposed method as a prototype system on a personal device with limited resources developed for resource collaboration and shows the effectiveness of the proposed method by evaluating user satisfaction.

A Study on Features Analysis for Retrieving Image Containing Personal Information on the Web (인터넷상에서 개인식별정보가 포함된 영상 검색을 위한 특징정보 분석에 관한 연구)

  • Kim, Jong-Bae
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.3
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    • pp.91-101
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    • 2011
  • Internet is becoming increasingly popular due to the rapid development of information and communication technology. There has been a convenient social activities such as the mutual exchange of information, e-commerce, internet banking, etc. through cyberspace on a computer. However, by using the convenience of the internet, the personal IDs(identity card, driving license, passport, student ID, etc.) represented by the electronic media are exposed on the internet frequently. Therefore, this study propose a feature extraction method to analyze the characteristics of image files containing personal information and a image retrieval method to find the images using the extracted features. The proposed method selects the feature information from color, texture, and shape of the images, and the images as searched by similarity analysis between feature information. The result which it experiments from the image which it acquires from the web-based image DB and correct image retrieval rate is 89%, the computing time per frame is 0.17 seconds. The proposed method can be efficiently apply a system to search the image files containing personal information and to determine the criteria of exposure of personal information.

Research on the Development of SLA Indicators for Personal Information Protection of Public IT Maintenance Business (공공정보화분야 유지관리사업의 개인정보보호를 위한 SLA 지표 개발에 대한 연구)

  • Lee, Kyung-Hwan;Ryu, Gab-Sang
    • Journal of the Korea Convergence Society
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    • v.11 no.6
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    • pp.37-42
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    • 2020
  • In the field of public informatization maintenance business, the attacks of external illegal users such as unauthorized leakage, destruction, and alteration due to intentional or inadequate management of personal information are increasing. In order to prevent such security incidents in advance, it is necessary to develop and quantitatively manage SLA indicators. This study presents the privacy SLA indicators and suggests specific methods such as information collection method and timing of the privacy SLA indicators. In order to confirm the validity and reliability of the proposed SLA indicators, an online survey was conducted with a group of experts. As a result, it was evaluated that compliance rate of personal information destruction and compliance rate of personal information protection system would be effective when applied to new and revised SLA indicators in terms of importance and validity. In the future, using SLA indicators for personal information protection as a standard for public information maintenance will contribute to improving SW quality and securing safety.

A Method of Identifying Ownership of Personal Information exposed in Social Network Service (소셜 네트워크 서비스에 노출된 개인정보의 소유자 식별 방법)

  • Kim, Seok-Hyun;Cho, Jin-Man;Jin, Seung-Hun;Choi, Dae-Seon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.6
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    • pp.1103-1110
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    • 2013
  • This paper proposes a method of identifying ownership of personal information in Social Network Service. In detail, the proposed method automatically decides whether any location information mentioned in twitter indicates the publisher's residence area. Identifying ownership of personal information is necessary part of evaluating risk of opened personal information online. The proposed method uses a set of decision rules that considers 13 features that are lexicographic and syntactic characteristics of the tweet sentences. In an experiment using real twitter data, the proposed method shows better performance (f1-score: 0.876) than the conventional document classification models such as naive bayesian that uses n-gram as a feature set.

A Study on the Protecting of Personal Information in Offline Transactions : Focused on the Housing Lease Agreements (오프라인 거래에서 개인정보 보호방안 : 주택임대차계약을 중심으로)

  • Kim, HyoSeok;Park, Soon-Tai;Kim, Yong-Min
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.2
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    • pp.243-252
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    • 2020
  • Recently, the proportion of housing lease has been increasing to an overwhelming level in line with the increase of single-person households and the change in the form of housing. In the normal case, the use of rental-type housing is subject to a housing lease agreement through a licensed real estate agent. In the event of a transaction conclusion, licensed real estate agent shall issue a contract containing the personal information of the lessee, the renter, and the licensed real estate agent to the transaction party. In this case, it is necessary for the lessee to provide the contract to a third party. This paper analyzes relevant laws and regulations and the status of housing transactions, focusing on personal information processed between offline housing lease agreements. And when issuing a contract through IRTS, we propose a way to protect personal information by providing a third party in three forms: information Data Subject-based, Purpose of usage-based De-identification, and Certificate of Contract.

A Preliminary Research on the Impact of Perception of Personal Information Leakage Incidents on the Behavior of Individual Information Management in the Mobile Banking Contexts (모바일 뱅킹 이용자의 개인정보 유출사고 인지가 개인정보관리 준수행동에 미치는 영향에 대한 사전 연구)

  • Kim, Jungduk;Lim, Se-Hun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.3
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    • pp.735-744
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    • 2016
  • Recently, personal information leakage incidents with increased usage of mobile services are increasing. Personal information leakage incidents can have a significant impact on an individual's mobile banking services. Accordingly, we examine relationships among individual's psychological characteristics, intention and behavior regarding compliance in an individual's perception on personal information leakage incidents in mobile banking contexts. In this study, for explaining our research model and understanding with personal psychology and behavior in mobile banking contexts, we adopted two theories, theory of interpersonal behavior and stimulus-response theory. We collected the 55 data using online surveyor and then analyzed structural equation model in order to find causal relationships among research variables. The results of this study should be useful to the mobile banking services companies in promoting service users to follow the information privacy policies.

A Study on Personal Information Protection amid the COVID-19 Pandemic

  • Kim, Min Woo;Kim, Il Hwan;Kim, Jaehyoun;Ha, Oh Jeong;Chang, Jinsook;Park, Sangdon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.12
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    • pp.4062-4080
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    • 2022
  • COVID-19, a highly infectious disease, has affected the globe tremendously since its outbreak during late 2019 in Wuhan, China. In order to respond to the pandemic, governments around the world introduced a variety of public health measures including contact-tracing, a method to identify individuals who may have come into contact with a confirmed COVID-19 patient, which usually leads to quarantine of certain individuals. Like many other governments, the South Korean health authorities adopted public health measures using latest data technologies. Key data technology-based quarantine measures include:(1) Electronic Entry Log; (2) Self-check App; and (3) COVID-19 Wristband, and heavily relied on individual's personal information for contact-tracing and self-isolation. In fact, during the early stages of the pandemic, South Korea's strategy proved to be highly effective in containing the spread of coronavirus while other countries suffered significantly from the surge of COVID-19 patients. However, while the South Korean COVID-19 policy was hailed as a success, it must be noted that the government achieved this by collecting and processing a wide range of personal information. In collecting and processing personal information, the data minimum principle - one of the widely recognized common data principles between different data protection laws - should be applied. Public health measures have no exceptions, and it is even more crucial when government activities are involved. In this study, we provide an analysis of how the governments around the world reacted to the COVID-19 pandemic and evaluate whether the South Korean government's digital quarantine measures ensured the protection of its citizen's right to privacy.