• Journal of Information Technology Services
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• v.15 no.1
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• pp.67-79
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• 2016

This study aims to present the necessary elements that should be part of South Korea's National Defense Strategy against the recent North Korean cyber-attacks. The elements proposed in this study also reflect the recent trend of cyber-attack incidents that are happening in the Unites States and other countries and have been classified into the three levels of cyber incidents: cyberwarfare, cyberterrorism and cybercrime. As such, the elements proposed are presented in accordance with this classification system. In order to properly take into account the recent trend of cyber-attacks perpetrated by North Korea, this paper analyzed the characteristics of recent North Korean cyber-attacks as well as the countermeasures and responses of South Korea. Moreover, by making use of case studies of cyber-attack incidents by foreign nations that threaten national security, the response measures at a national level can be deduced and applied as in this study. Thus, the authors of this study hope that the newly proposed elements here within will help to strengthen the level of Korea's cyber security against foreign attacks, specifically that of North Korea such as the KHNP hacking incidents and so on. It is hoped that further damage such as leakage of confidential information, invasion of privacy and physical intimidation can be mitigated.

• Journal of Korean Biological Nursing Science
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• v.25 no.2
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• pp.95-104
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• 2023

Purpose: The purpose of this study was to analyze the trends and characteristics of infection-related patient safety incident reporting before and during the coronavirus disease 2019 (COVID-19) pandemic in Korea, and to provide basic data for preventing infection-related patient safety incidents and improving their management. Methods: A cross-sectional analysis of secondary national data (Patient Safety Reporting Data) was conducted. In total, 517 infection-related patient safety incidents reported from 2018 to 2021 were analyzed. Changes in the number of reports before and during the COVID-19 pandemic and differences in variables related to infection-related patient safety incidents were analyzed using the chi-square test and independent t-test in SPSS 29.0. Results: This study found that infection-related patient safety incidents decreased during the COVID-19 pandemic compared to before the pandemic. Furthermore, incident-related characteristics, such as the type of healthcare organization, severity of harm, and post-incident actions, changed during the COVID-19 pandemic. Conclusion: The many changes in the infection control system and practices during the COVID-19 pandemic may have contributed to a decrease in the reporting of infection-related patient safety incidents. It is hoped that longitudinal studies on patient safety incidents related to the pandemic and analytical studies on factors influencing patient safety incidents will continue to be conducted to prevent and improve patient safety incidents.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.3 no.1 s.4
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• pp.53-65
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• 2004

A series of accidents, which are non-recurrent and non-anticipated, are called incidents. These incidents make standard traffic flows interrupt, which result in the decrease of road capacity and a number of social and economic costs, such as the traffic congestion and air pollution. In order to prevent the hazard of incidents, domestic and foreign traffic management center are likely to opt auto-sense system with algorithms of auto-incident sense. However, it is evaluated that the algorithms have a low function with frequent wrong alarms, even if they accurately ry to speculate the incidents. In the case of bottleneck which has lack of road capacity, compared with other roads, due to inefficient road structured over-capacity of the demand of on-off ramp, the incidents regularly take place. Nonetheless, it can be more difficult to speculate the auto-incidents sense owing to similar incidents, such as the queue of in-out flows of cars and the change of road line. Throughout this research, the function of the model has improved excluding near road line in the module of the incidents which is based on the auto-incidents algorithms during the sense of the congestion of ramp areas.

• Journal of Agricultural Extension & Community Development
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• v.30 no.2
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• pp.119-129
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• 2023

This study aims to identify the types of safety accidents that occur during maintenance and repair operations and analyze the root causes. We used the logic tree diagramming to extract the root causes of 65 safety incidents specifically related to maintenance and repair work out of a total of 1,024 agricultural safety incidents that occurred between 2007 and 2020 collected by investigation with interviews. The extracted root causes were analyzed by categorizing them into six different safety system classifications. The results of the analysis and suggestions are as follows. Incidents related to maintenance and repair work, which can lead to irreversible safety hazards, have occurred frequently. These incidents were found to be occurring due to the overlapping of various safety system errors such as personal protective system and safety operation procedure. In the short term, it is necessary to emphasize compliance with the use of personal protective equipment, and enhancement of maintenance training. In the long term, it is necessary to establish a legal distinction for maintenance and repair work and clarify the responsible parties. Introducing a maintenance system is also crucial to prevent occupational injuries during maintenance and repair in agriculture.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.3
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• pp.649-664
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• 2015

Recently, the risk of security incidents has been increased due to change of IT environment and development of new hacking methods. Event study methodology that measures the effect of a specific security incident on the stock price is widely adopted to analyze the damage cost of security incidents on market value. However, analysis of company's temporary stock price change is limited to immediate practical implication, and reputation loss should be considered as a collateral damage caused by security incidents. We analyzed 52 security incidents of listed Korean companies in the last decade; by refining the criteria presented by Tobin's q, we quantitatively showed that the companies has significantly higher reputation loss due to security loss than the other companies. Our research findings can be used in order that the companies can efficiently allocate its resource and investment for information security.

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.5
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• pp.515-523
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• 2015

This study reviewed 612 DP LOP(Loss of Position) incident reports which submitted to IMCA from 2001~2010 and identified 103 human error caused incidents and classified it through HFACS. And, this study analysis of conditional probability of human error on DP LOP incidents through application of bayesian network. As a result, all 103 human error related DP LOP incidents were caused by unsafe acts, and among unsafe acts 70 incidents(68.0 %) were related to skill based error which are the largest proportion of human error causes. Among skill based error, 60(58.3%) incidents were involved inadvertent use of controls and 8(7.8%) incidents were involved omitted step in procedure. Also, 21(20.8%) incidents were involved improper maneuver because of decision error. Also this study identified that unsafe supervision(68%) is effected as the largest latent causes of unsafe acts through application to bayesian network. As a results, it is identified that combined analysis of HFACS and bayesian network are useful tool for human error analysis. Based on these results, this study suggest 9 recommendations such as polices, interpersonal interaction, training etc. to prevent and mitigate human errors during DP operations.

• Proceedings of the KSR Conference
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• 2004.10a
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• pp.246-249
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• 2004

According to ' Monthly report of train accidents and incidents ' of KNR, 95 numbers of rolling stock fire accidents/incidents had happened during last five years(from 1999 to 2003). Among them, there have happened only one injured accident which happened at Whamyung station in 1999. But it is necessary to consider a countermeasure for fire accidents/incidents, because they have big risk which might produce a large scale damage and lots of injured persons as the Taegu subway fire accident last year. This paper analyzes the rolling stock fire accidents/incidents which have happened during last five years in KNR, and suggests their countermeasures.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.817-828
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• 2021

Purpose: In this paper, we propose a common dataset structure which includes the incidents investigation information and features data for machine learning. Most of the data is from the incidents reports of the governmental part and restricts on the social disaster and safety areas. Method: Firstly, we extract basic incidents data from the several incident investigation reports. The data includes the cause, damage, date, classification of the incidents and additionally considers the feature data for the machine learning. All data is represented by XML standard notation. Result: We defined the standard XML schema and the example for the incidents investigation information. Conclusion: We defined the common incidents dataset structure for the machine learning. It may play roles of the common infrastructure for the disaster and safety applications areas

• Journal of Navigation and Port Research
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• v.45 no.3
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• pp.95-101
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• 2021

Marine Incidents based on Heinrich's law are very important in preventing accidents. However, marine Incident data are mainly qualitative and are used to prevent similar accidents through case sharing rather than statistical analysis, which can be confirmed in the marine Incident-related data posted in the Korea Maritime Safety Tribunal. Therefore, this study derived quantitative results by analyzing the causes of marine incidents during berthing using various methods of statistical analysis. To this end, data involving marine incidents from various shipping companies were collected and reclassified for easy analysis. The main keywords were derived via primary analysis using text mining. Only meaningful words were selected via verification by an expert group, and time series and cluster analysis were performed to predict marine incidents that may occur during berthing. Although the role of an expert group was still required during the analysis, it was confirmed that quantitative analysis of marine incidents was feasible, and iused to provide cause and accident prevention information.

• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.1
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• pp.23-29
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• 2008

The railway system is worldwide recognized as a safe mean of transportation. However, railroad accidents and incidents continue to occur. Due to the nature of the railway system that consist of many mechanical parties, it is apparently difficult to eliminate probability of accidents and incidents completely. Therefore, through the analysis of railroad accidents and incidents, it is very important to trace the various factors affecting the accidents and incidents. In this study, we performed the analysis of rail-road accidents due to track defects in foreign countries; United States of America, England, Canada, Australia. As a result of its investigation of the accidents, major risk factors are proposed in this study.