• Journal of Internet Computing and Services
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• v.10 no.2
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• pp.1-13
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• 2009

Intrusion detection is a process that identifies the attacks and responds to the malicious intrusion actions for the protection of the computer and the network resources. Due to the fast development of the Internet, the types of intrusions become more complex recently and need immediate and correct responses because the frequent occurrences of a new intrusion type rise rapidly. Therefore, to solve these problems of the intrusion detection systems, we propose a sequential pattern miner for analysis of the alert data in order to support intelligent and automatic detection of the intrusion. Sequential pattern mining is one of the methods to find the patterns among the extracted items that are frequent in the fixed sequences. We apply the prefixSpan algorithm to find out the alert sequences. This method can be used to predict the actions of the sequential patterns and to create the rules of the intrusions. In this paper, we propose an extended prefixSpan algorithm which is designed to consider the specific characteristics of the alert data. The extended sequential pattern miner will be used as a part of alert data analyzer of intrusion detection systems. By using the created rules from the sequential pattern miner, the HA(high-level alert analyzer) of PEP(policy enforcement point), usually called IDS, performs the prediction of the sequence behaviors and changing patterns that were not visibly checked.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.34-44
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• 2017

This paper summarizes the results of the government R&D funding for ICT SMEs over the past five years, and compares the differences in R&D performance of the government funding methods (grant and loan). Two major ICT SMEs funding programs were examined, and the data used in the comparison were based on the performance analysis report published by the MSIP (Ministry of Science, ICT and Future Planning) every year. Considering that the projects' conductors were SMEs and that the R&D stages were in development research, the comparison categories were the number of patents and employment (or jobs) positions created, and commercialization success rate and its sales. Comparative analysis results proved that the SME R&D programs were funded with grants had excellent technological achievements in terms of the number of patent applications and registrations. On the other hand, SME R&D programs that were funded by the government loans had relatively higher economic and social achievements, such as employment effects and commercialization sales. However, it was difficult to come to a comparative conclusion on the category of commercialization success rate between the two programs. As the result, this paper provides suggestions for the direction and policy of the government financial support for ICT SME R&D.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.635-646
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• 2016

This paper proposes a housing business model, where the presale and Chonsei housing are supplied under a presale system at the same time based on the characteristic correlation between the housing presale market and Chonsei market in Korea. Markowitz portfolio theory was used to review the risk diversification effects from the changes in the ratio between the presale housing supply and the Chonsei housing supply. The housing sale price indicator was used as a proxy variable to determine the presale housing supply. The housing Chonsei price indicator was used as a proxy variable to determine the Chonsei housing supply. The proposed housing business model was applied to major areas in Korea to examine the risk diversification effect. Comparisons of the regional portfolio analyses showed that the flexibility of the proposed housing business model can be quite effective because each regional housing market exhibits different characteristics. Market participants, such as developers, construction companies, consumers, and government, can expect various effects through the proposed housing business model. Nevertheless, policy support is necessary for practical applications of the proposed housing business model. In particular, public funds from the government need to be introduced.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.38 no.3
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• pp.64-74
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• 2020

The significance of Boseong Tea Agriculture System lies in its harmonious coexistence with the surrounding environment, producing high quality teas and maintaining its biodiversity. Boseong Tea Agriculture System has been inscribed as Korea's Important Agricultural Heritage System (KIAHS) in 2018, but the Aging Society of tea farmers is threatening the conservation and succession of tea farming of the region. The study suggests designation of Boseong Tea Agriculture System as one of Globally Important Agricultural Heritage System (GIAHS), objecting conservation and succession of Boseong Tea Agriculture System. The study has reviewed GIAHS, KIAHS, Boseong Tea Agriculture System and surveyed tea farmers of Boseong for 3 months from March to May, 2020. The survey method includes face to face interview, phone interview (ones couldn't be reached for face to face interview) and in-depth interview of community leaders and experts, verifying the Aging Society status in Boseong tea agricultural industry. The survey result includes the following. Average age of Boseong tea farmers is 69.4 years old. Family tea-farming over two generation is 36% (54 household), and 79.4% (119 household) depends on 90% of income from tea production. The in-depth interview shows the aging tea farming society is most serious concern of tea farmers and GIAHS designation will support reliability and recognition of Boseong tea, helping conservation and succession of Boseong Tea Agriculture System. GIAHS designation will enhance and share the value of Boseong Tea Agriculture worldwide and be able to inherit the heritage for our future generation.

• Nutrition Research and Practice
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• v.10 no.1
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• pp.56-66
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• 2016

BACKGROUND/OBJECTIVES: Despite successes recorded in combating iodine deficiency, more than 2 billion people are still at risk of iodine deficiency disorders. Rural landlocked and mountainous areas of developing countries are the hardest hit, hence the need to explore and advance novel strategies such as biofortification. SUBJECTS/METHODS: We evaluated adoption, purchase, and consumption of iodine biofortified vegetable legumes (IBVL) using the theory of protection motivations (PMT) integrated with an economic valuation technique. A total of 1,200 participants from three land-locked locations in East Africa were recruited via multi-stage cluster sampling, and data were collected using two, slightly distinct, questionnaires incorporating PMT constructs. The survey also elicited preferences for iodine biofortified foods when offered at a premium or discount. Determinants of protection motivations and preferences for iodine biofortified foods were assessed using path analysis modelling and two-limit Tobit regression, respectively. RESULTS: Knowledge of iodine, iodine-health link, salt iodization, and biofortification was very low, albeit lower at the household level. Iodine and biofortification were not recognized as nutrient and novel approaches, respectively. On the other hand, severity, fear, occupation, knowledge, iodine status, household composition, and self-efficacy predicted the intention to consume biofortified foods at the household level; only vulnerability, self-efficacy, and location were the most crucial elements at the school level. In addition, results demonstrated a positive willingness-to-pay a premium or acceptance of a lesser discount for biofortification. Furthermore, preference towards iodine biofortified foods was a function of protection motivations, severity, vulnerability, fear, response efficacy, response cost, knowledge, iodine status, gender, age. and household head. CONCLUSIONS: Results lend support for prevention of iodine deficiency in unprotected populations through biofortification; however 'threat' appraisal and socio-economic predictors are decisive in designing nutrition interventions and stimulating uptake of biofortification. In principle, the contribution is threefold: 1) Successful application of the integrated model to guide policy formulation; 2) Offer guidance to stakeholders to identify and tap niche markets; 3) stimulation of rural economic growth around school feeding programmes.

• Journal of Distribution Science
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• v.12 no.8
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• pp.55-69
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• 2014

Purpose - Despite the importance of price, many companies do not implement pricing policies smoothly, because typical price management strategies insufficiently consider logistics efficiency and an increase in logistics costs due to logistics waste. This study attempts to examine the effect of product line pricing, which corresponds to product mix pricing, on logistics efficiency in the case of manufacturer A, and analyzes how logistics performance changes in response to these variables. Research design, data, and methodology - This study, based on the case of manufacturer A, involved research through understanding the current status, analyses, and then proposing improvement measures. Among all the products of manufacturer A, product group B was selected as the research object, and its distribution channel and line pricing were examined. As a result of simulation, for products with low loading efficiency, improvement measures such as changing the number of bags in the box were suggested, and a quantitative analysis was conducted on how these measures influence logistics costs. The TOPS program was used for the Pallet loading efficiency simulation tool in this study. To prevent products from protruding out of the pallet, the maximum measurement was set as 0.0mm, and loading efficiency was based on the pallet area, and not volume. In other words, its size (length x width) was focused upon, following the purpose of this study and, then, the results were obtained. Results - As a result of the loading efficiency simulation, when the number of bags in the box was changed for 36 products with low average loading efficiency of 73.7%, as shown in