• Journal of the Korean Society of Safety
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• v.22 no.3 s.81
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• pp.13-21
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• 2007

Personal and static sampling for formaldehyde, wood dust and noise monitoring, in accordance to the equipment running on the day, were carried out throughout wood panel manufacturing process. Even though the exposure level of formaldehyde and wood dust were below than exposure criteria, but the personal protective equipment(PPE) for those should be worn to everyone in the process because of its potential characteristics like carcinogenicity. Also a few local air extraction system above the cutting, grinding sections and organic blending room should be required. Most of the exposures of noise exposure were exceeded permitted exposure criteria, in case of Hopper operators, exposed to maximally 94dB(A) as LAeq 8hr, therefore active controls like PPE, monitoring, isolation etc. are necessary. The main sources of noise were caused on compressed air of the machinery, radio sound and operation noise like running machines, conveying, cutting, sawing, moving vehicles, storing and so on. For the comparison of control criteria in each country, the permitted exposure standards for above hazardous materials and noise in Korea, ACGIH and Australia were discussed. We have recognized that the Korean criteria should be discussed urgently to give the right information to employee and modified, if it is necessary.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.145-151
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• 2015

Since we use internet every day, the internet privacy has become important. We need to find out what kinds of personal information is exposed to the internet and to eliminate the exposed information. However, it is not efficient to search the personal information using only fragmentary clues in web search engines because the ranking results are not relevant to the exposure degree of personal information. In this paper, we introduced a personal information retrieval system and proposed a process to remove private data from the web easily. We also compared our proposed method with previous methods by evaluating the search performance.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.123-129
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• 2017

This study intends examine the relevance of factors with negative influences on anti-social sexual awareness formation in adolescents as per the concern of the parents of families with adolescents, as internet pornography exposure in adolescents lead to excessive indulgence in pornographic photographs, cartoons, videos, or fictions, or in video chatting with exposure of one's own body parts. For this, the factors of internet pornography exposure in the study subjects of adolescents were constructed into a multilateral model, and the structural equation model was analyzed. As the result of the study, the following conclusion were drawn. First, the most powerful factor influencing the anti-social sexual awareness in adolescents was, contrary to the concern of many, not the exposure to pornography through internet media, but personal characteristics such as sensation-seeking tendency and socio-environmental characteristic of differential association. Second, it is worth noting that the most major factor influencing intentional internet pornography exposure by adolescents is another form of pornography exposure. Third, whether intentional or unintentional, the internet-related variable influencing the internet pornography exposure was found to be the amount of internet usage. Fourth, the unintended internet pornography exposure was found to have no direct influence on the sexual awareness of adolescents, but it did have an indirect influence on sexual awareness mediated by intentional internet pornography exposure and existing-media pornography exposure. Based on these study results, the conclusion was drawn regarding the influence of internet pornography on sexual awareness in adolescents.

• Journal of Environmental Impact Assessment
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• v.9 no.3
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• pp.203-214
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• 2000

Health risk assessment is applied to streamlining LCA(Life Cycle Assessment) using Monte carlo simulation for probabilistic/stochastic exposure and risk distribution analysis caused by data variability and uncertainty. A case study was carried out to find benefits of this application. BTC(Benzene, Trichloroethylene, Carbon tetrachloride mixture alias) personal exposure cases were assumed as production worker(in workplace), manager(in office) and business man(outdoor). These cases were different from occupational retention time and exposure concentration for BTC consumption pattern. The result of cancer risk in these 3 scenario cases were estimated as $1.72E-4{\pm}1.2E+0$(production worker; case A), $9.62E-5{\pm}1.44E-5$(manger; case B), $6.90E-5{\pm}1.16E+0$(business man; case C), respectively. Portions of over acceptable risk 1.00E-4(assumed standard) were 99.85%, 38.89% and 0.61%, respectively. Estimated BTC risk was log-normal pattern, but some of distributions did not have any formal patterns. Except first impact factor(BTC emission quantity), sensitivity analysis showed that main effective factor was retention time in their occupational exposure sites. This case study is a good example to cover that LCA with probabilistic risk analysis tool can supply various significant information such as statistical distribution including personal/environmental exposure level, daily time activity pattern and individual susceptibility. Further research is needed for investigating real data of these input variables and personal exposure concentration and application of this study methodology.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.2
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• pp.395-410
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• 2015

This research defines the degree of the threat caused by the leakage of personal information in a quantitative way. The proposed definition classifies the individual items in a personal data, then assigns a risk value to each item. The proposed method considers the increase of the risk by the composition of the multiple items. We also deals with various attack scenarios, where the attackers seek different types of personal information. The concept of entropy applies to associate the degree of the personal information exposed with the total risk value. In our experiment, we measured the risk value of the Facebook users with their public profiles. The result of the experiment demonstrates that they are most vulnerable against stalker attacks among four possible attacks with the personal information.

• Smart Media Journal
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• v.7 no.3
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• pp.64-71
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• 2018

Utilization of unmanned aerial vehicles (UAVs) are rapidly expanding to various fields ranging from defense, industry, entertainment and personal hobbies. Due to the increased activities of unmanned airplanes, many security problems have emerged, including flight path errors to undesired destinations, secondary threats due to exposed securities caused by the capture of unmanned airplanes in hostile countries. In this paper, we find security vulnerabilities in UAVs such as GPS spoofing, hacking captured video information, malfunction due to signal attenuation through jamming, and exposure of personal information due to image shooting. In order to solve this problem, the stability of the unstructured data is secured by setting the encryption of the video shooting information section using the virtual private network (VPN) to prevent the GPS spoofing attack. In addition, data integrity was ensured by applying personal information encryption and masking techniques to minimize the secondary damage caused by exposure of the UAV and to secure safety. It is expected that it will contribute to the safe use and stimulation of industry in the application field of UAV currently growing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2415-2421
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• 2013

Widespread personal data utilization has led personal data protection to its importance at core, and serious data spill has increased constantly as a result. Though various types of protection systems for data spill have been suggested, all these met failures in detection of personal data when printed out or preventing fatal data exposure without any protections when data spill happens. I propose API-Hook method which detects and controls personal data within printouts, and prevents data leakage through masking on the printed-out data. Also, it is verified if security is guaranteed on the documents containing personal data when implementing. In order to obtain security, it is essential to put more weights on the balance with availability than confidentiality.

• 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.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.261-266
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• 2011

Recently, Internet web services including bulletin board of companies, public intuitions, or governments became the main ways of personal information leakage. However, it is hard to succeed to detect personal information and protect it from leakage manually by system administrators, because the number of web boards and attached files is so huge. Therefore, automatic scanning and filtering methods are needed to protect personal information like resident registration numbers from unexpected exposure. To do this, we developed a novel and advanced web security system for automatic personal information scanning and filtering.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.317-322
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• 2013

Personal information is defined information related to users' privacy data. It can be verified information through social security number, image, and means relating to individual can verify. Such personal information is in accordance with the privacy act in law for the collection and usage in enterprises and institutions. However, it can be induced privacy problem when it is exposed information without attention. This user's inadvertent disclosure of personal information has occurred due to social engineering and intelligent cyber-crime occurred in order to solve these problems. A variety of protection solutions for personal information have been developed. Web privacy filtering firewall and solutions related with server have been developed among developed many solutions, web privacy filtering and firewall solutions is proposed in this paper.