• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.31-37
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• 2020

In this paper, we propose a system architecture and methodology based on cyber kill chain and MITRE ATT&CK for experiment analysis on cyber warfare simulation. Threat analysis is possible by applying various attacks that have actually occurred with continuous updates to reflect newly emerging attacks. In terms of cyber attack and defense, the current system(AS-IS) and the new system(TO-BE) are analyzed for effectiveness and quantitative results are presented. It can be used to establish proactive cyber COA(Course of Action) strategy, and also for strategic decision making. Through a case study, we presented the usability of the system architecture and methodology proposed in this paper. The proposed method will contribute to strengthening cyber warfare capabilities by increasing the level of technology for cyber warfare experiments.

• Perspectives in Nursing Science
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• v.10 no.2
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• pp.133-140
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• 2013

Purpose: This study aimed to investigate the perspective of consumers in healthcare services regarding patient safety. Methods: The study was a descriptive study using a self-reported questionnaire. The questionnaire was based on the Senior Empowerment and Advocacy in Patient Safety (SEAPS) questionnaire, which was designed to assess patient safety health beliefs. The survey was conducted online and a convenient sample of 302 adults participated in total. The reliability of the measurement (Cronbach's ${\alpha}$) was 0.758 in attitude (ATT), 0.546 in out-come efficacy (OE), 0.757 in self-efficacy (SE), and 0.703 in behaviors (BEH). Results: The average patient safety awareness score of the healthcare service consumers was 2.72 (ATT), 2.91 (OE), 2.87 (SE), and 2.27 (BEH). Our analysis indicated that there were no differences in ATT, BEH, or SE by gender, age, or education level. However, in OE and the total score of the four subscales, there were significant differences by age and gender. Correlations were identified between BEH and SE (r=0.409, p<.01), BEH and OE (r=0.202, p<.01), ATT and SE (r=0.358, p<.01), and OE and SE (r=0.241, p<.01). Conclusion: This study measured consumer perspectives concerning patient safety. The findings demonstrate the need for developing a measurement tool to assess consumer's perception of patient safety, considering Korean healthcare system and cultural context.

• Annals of Laboratory Medicine
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• v.38 no.6
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• pp.591-598
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• 2018

Background: Forkhead box P3 (FOXP3) is an important marker of regulatory T cells. FOXP3 polymorphisms are associated with autoimmune diseases, cancers, and allograft outcomes. We examined whether single nucleotide polymorphisms (SNPs) at the FOXP3 locus are associated with clinical outcomes after allogenic hematopoietic stem cell transplantation (HSCT). Methods: Five FOXP3 SNPs (rs5902434, rs3761549, rs3761548, rs2232365, and rs2280883) were analyzed by PCR-sequencing of 172 DNA samples from allogenic HSCT patients. We examined the relationship between each SNP and the occurrence of graft-versus-host disease (GVHD), post-HSCT infection, relapse, and patient survival. Results: Patients with acute GVHD (grades II-IV) showed higher frequencies of the rs3761549 T/T genotype, rs5902434 ATT/ATT genotype, and rs2232365 G/G genotype than did patients without acute GVHD (P =0.017, odds ratio [OR]=5.3; P =0.031, OR=2.4; and P =0.023, OR=2.6, respectively). Multivariate analysis showed that the TT genotype of rs3761549 was an independent risk factor for occurrence of acute GVHD (P =0.032, hazard ratio=5.6). In contrast, the genotype frequencies of rs3761549 T/T, rs5902434 ATT/ATT, and rs2232365 G/G were lower in patients with post-HSCT infection than in patients without infection (P =0.026, P =0.046, and P =0.031, respectively). Conclusions: rs3761549, rs5902434, and rs2232365 are associated with an increased risk of acute GVHD and decreased risk of post-HSCT infection.

• Journal of Technology Innovation
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• v.19 no.1
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• pp.29-53
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• 2011

This paper analyzes the effects of government-sponsored R&D on firm's employment and management performance, using the panel data of manufacturing firms in the area of Busan, Ulsan and Gyungnam. The paper applies PSM to estimate the treatment effects(ATT) without sample selection bias. The findings show that government-sponsored R&D in the area has positive effects on the participating firms' employment and R&D for several years after completing R&D projects.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1993.10a
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• pp.591-600
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• 1993

Considerable controversy exists about the trend of animal traction effects on crop production in dryland farming systems in sub-Saharan Africa (SSA). This problem arises on account of the failure of the few available empirical studies to recognise the important of technological experience of the individual adopting farmers. This study hence addresses this issue by examining the effects of experience in animal traction technology (ATT) on farm size, cropping emphasis, total crop output and farm productivity. It is based on farm management survey data on 42 small holder farm households fro Ghana. Thirty of these households used animal traction technology (ATT) fro crop cultivation and the rest, mainly hand-hoe. The animal traction sub-sample is classified into three groups according to farmers' years of experience with the technology , thus , those with 1-2, 3-10, and more than 10. Evidence from the study shows that the progression of years of experience with ATT leads to inten ification of labour and land use systems, enhancement of degree of motivation to enter into the market economy, increases in total crop output and farm productivity resulting for decreases in cultivated acreages. The implication of the findings is that institutioal and technical support that do accompany the introduction of such technologies should be structured to last for a relatively longer period to accomodate the learning process.

• Journal of Distribution Science
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• v.18 no.6
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• pp.83-91
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• 2020

Purpose: Research on the behavior of using digital banking services plays an important role for banks in the context of increasingly competitive banks, not only for domestic banks but also for foreign banks. Along with the development of science and technology brings new approaches to banking industry, digital banking increases the effectiveness of banking activities. Besides, information safety brings different feeling about digital banking system. Therefore, this research evaluates the relationship between Information safety and Intention to use banking services in Vietnam. Research design, data and methodology: With 329 Vietnamese customers using digital banking, reliability test, and structural equation model (SEM) analysis method. Results: the research shows that information safety has directly effects on perceived ease of use (PU), perceived risk (RIS) of customers to digital banking services. Perceived trust (TRU) has a negative impact on RIS. Perceived of usefulness (PEU) has a positive impact on attitude towards service (ATT), and RIS has a negative impact on ATT. RIS, PEU, ATT, convenience and enterprise image have positive effects on intention to use digital banking service. Conclusions: From the research results, the authors also propose some recommendations to enhance the intention to use digital banking services in Vietnam.

• Journal of Species Research
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• v.10 no.2
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• pp.154-158
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• 2021

An endemic endangered species, Aster altaicus var. uchiyamae (Danyang aster) B2015-0044, is cultivated at the Shingu Botanical Garden, which serves as the ex situ conservation institution for this species. In this work, we sequenced the chloroplast genome of A. altaicus var. uchiyamae B2015-0044. We found that the chloroplast (cp) genome of B2015-0044 was 152,457 base pairs(bps) in size: 84,247 bps of large single copy regions(LSC), 25,007 bps of inverted repeats(IRs), and 18,196 bps of small single copy regions. The B2015-0044 cp genome contains 79 protein-coding genes (PCGs), 4 RNA genes, 29 tRNA genes, and 3 pseudogenes. These results were identical to a previously reported cp genome (Park et al., 2017), except for two sites in introns and three in intergenic spacer (IGS) regions. For the intronic differences, we found that clpP.i1 had a 1-bp small simple repeat (SSR) (T) and petD.i had a 3-bp SSR (ATT). We found 1-bp SSRs in the IGSs of trnT_ggu~psbD and psbZ~trnG_gcc, C and A, respectively. The IGS of(ndhF)~rpl32 had a SNP. Based on our results, the cp genome of the A. altaicus var. uchiyamae can be classified into two genotypes, [C]¹-[A]¹²-[T]¹²-[ATT]⁴-C and [C]²-[A]¹¹-[T]¹¹-[ATT]²-A.

• Journal of Internet Computing and Services
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• v.23 no.6
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• pp.1-13
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• 2022

As the information and communication environment develops, the environment of military facilities is also development remarkably. In proportion to this, cyber threats are also increasing, and in particular, APT attacks, which are difficult to prevent with existing signature-based cyber defense systems, are frequently targeting military and national infrastructure. It is important to identify attack groups for appropriate response, but it is very difficult to identify them due to the nature of cyber attacks conducted in secret using methods such as anti-forensics. In the past, after an attack was detected, a security expert had to perform high-level analysis for a long time based on the large amount of evidence collected to get a clue about the attack group. To solve this problem, in this paper, we proposed an automation technique that can classify an attack group within a short time after detection. In case of APT attacks, compared to general cyber attacks, the number of attacks is small, there is not much known data, and it is designed to bypass signature-based cyber defense techniques. As an attack model, we used MITRE ATT&CK® which modeled many parts of cyber attacks. We design an impact score considering the versatility of the attack techniques and proposed a group similarity score based on this. Experimental results show that the proposed method classified the attack group with a 72.62% probability based on Top-5 accuracy.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.263-279
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• 2024

With the increasing trend of Cloud migration, security threats in the Cloud computing environment have also experienced a significant increase. Consequently, the importance of efficient incident investigation through log data analysis is being emphasized. In Cloud environments, the diversity of services and ease of resource creation generate a large volume of log data. Difficulties remain in determining which events to investigate when an incident occurs, and examining all the extensive log data requires considerable time and effort. Therefore, a systematic approach for efficient data investigation is necessary. CloudTrail, the Amazon Web Services(AWS) logging service, collects logs of all API call events occurring in an account. However, CloudTrail lacks insights into which logs to analyze in the event of an incident. This paper proposes an automated analysis framework that integrates Cloud Matrix and event information for efficient incident investigation. The framework enables simultaneous examination of user behavior log events, event frequency, and attack information. We believe the proposed framework contributes to Cloud incident investigations by efficiently identifying critical events based on the ATT&CK Framework.

• 건축구조
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• v.16 no.3
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• pp.46-49
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• 2009