• Water for future
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• v.55 no.9
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• pp.54-64
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• 2022

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.538-538
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• 2022

• Journal of Forest and Environmental Science
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• v.16 no.1
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• pp.50-68
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• 2000

This study was to estabilish the composition and vegetation of vascular plants on natural mashes in Wondae-ri(710m: $37^{\circ}$ 58' 30" N, $128^{\circ}$ 12' 15" E), This work was conducted from April to October, 1999. Vascular plants were composed of 71 families, 175 genera, 228 species, 1 subspecies, 33 varieties and 3 formae, totaling 265 taxa. Among the investigated vascular plants, 19 families, 24 genera, 31 species, 5 varieties, 1 formae, totaling 37 taxa (13.9%) were hydrophytes and hygrophytes. The forest vegetation was classified into 1 community and 2 subcommunities ; A. Phragmites japonica community A-1. Salix gracilistyla-Impatiens noli-tangere subcommunity A-2. Spiraea prunifolia var. simpliciflora-Artemisia capillaris subcommunity.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.381-386
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• 2013

As the new variation malicious codes of android platform are drastically increasing, the preparation plan and response is needed. We proposed a high-interaction client honeypot that applied to the android platform. We designed flow for the system. Application plan and the function was analyze. Each detail module was optimized in the Android platform. The system is equipped with the advantage of the high-interaction client honeypot of PC environment. Because the management and storage server was separated it is more flexible and expanded.

• Journal of the Korea Society of Computer and Information
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• v.10 no.6 s.38
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• pp.127-136
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• 2005

Recently, the damages occurring from the malware are increasing rapidly, regardless of continuous development of commercial vaccines . Generally, the vaccine detects well-known malware effectively, but it becomes helpless without any information against the unknown ones. Also, the malware generates its variations fast enough, so that the vaccine always gets behind in its updates. In this paper, we are describing a design and development of malware detection tool, which can detect such malware effectively. We first analyze the general functionality of the malware, and then extracts specific signatures. Such that, we can actively cope with a malware, which may come in previous type, a new type, and any of its mutations also.

• Animal Systematics, Evolution and Diversity
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• v.5 no.2
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• pp.183-204
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• 1989

The Arcellinida and Gromiida (Protozoa ; Sacromastigophora ; Rhizopoda) inhabiting the freshwater in Chngju area were systematically investigated. Collections of samples were made from September, 1988, to August, 1989 at 10 sites located in Chngju area, Korea. As a result, 19 species and one variety in five families were identified, of which 12 species and one variety were newly recorded from Korea ; Arcella gibbosa Penard, A.polypora Penard, Centropyxis ecornis (Ehrenberg), Lesquereusia modesta Rhumbler . Nebela tuberculata (Wallich), Difflugia acuminata var. inflata Penard, D. crassa Cash and Hopkinson, d.curvicaulis Penard, D. elegans Penard, D.lithophila Penard, Pontigulasia compressa (Carter), P.vas(Leidy), Euglypha scutigera Penard. The identified species were redescribed with photographs.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.2
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• pp.339-346
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• 2018

Ransomware is a malicious program that requires money by encrypting data. The damage to ransomware is increasing worldwide, and targeted attacks for corporations, public institutions and hospitals are increasing. As a ransomware is serviced and distributed, its various usually emerge. Therefore, the accurate analysis of ransomware can be a decryption solution not only for that ransomware but also for its variants. In this paper, we analyze a cryptographic elements and encryption process for Erebus found in June, 2017, and investigate its cryptographic vulnerability and memory analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.259-263
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• 2015

The vulnerabilities related to Flash player which is widely used in internet browsers and office programs are gradually increased. To detect Flash malwares, previous work focuses on predefined features of ActionScript. However above work cannot detect new/mutated Flash malwares, since predefined features could not cover the new patterns of new/mutated Flash mawares. To solve this problem, we propose a Flash malware detection method that uses machine learning to learn Flash Tag patterns and classify Flash by using machine learning.

• Journal of Korea Multimedia Society
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• v.6 no.5
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• pp.778-787
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• 2003

Intrusion detection systems based on rules are not efficient for mutated attacks, because they need additional rules for the variations. In this paper, we propose an intrusion detection system using the time delay neural network. Packets on the network can be considered as gray images of which pixels represent bytes of them. Using this continuous packet images, we construct a neural network classifier that discriminates between normal and abnormal packet flows. The system deals well with various mutated attacks, as well as well known attacks.

• Journal of Plant Biology
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• v.37 no.1
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• pp.111-124
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• 1994

The delimitation and systematic relationships of the C. foetida complex and related species were evaluated by numerical methods, including principal components analysis and cluster analysis of major morphological characters. Results of these analyses strongly support recognition of three varieties in C. foetida; these include C. foetida var. foetida, C. foetida var. micrantha, and C. foetida var. velutita. The results also indicated that C. brachycarpa, C. frigida, C. heracleifolia, and C. yunnanensis are distinct species, and C. heracleifolia comprises C. heracleifolia var. heracleifolia and C heracleifolia var. bifida. Cimicifuga mairei and C. foetida var. foliolosa, however, appeared to be morphologically indistinguishable from C. foetida var. velutina. In addition, C. foetida var. longibracteata and C. foetida var. bifula are conspecific with C. frigida.rigida.