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Native API 빈도 기반의 퍼지 군집화를 이용한 악성코드 재그룹화 기법연구
권오철(O-chul Kwon),배성재(Seong-jae Bae),조재익(Jae-ik Cho),문종섭(Jung-sub Moon) 한국정보보호학회 2008 정보보호학회논문지 Vol.18 No.a6
Native API(Application Programming Interfaces)는 관리자 권한에서 수행되는 system call의 일종으로 관리자 권한을 획득하여 공격하는 다양한 종류의 악성코드를 탐지하는데 사용된다. 이에 따라 Native API의 특징을 기반으로한 탐지방법들이 제안되고 있으며 다수의 탐지방법이 교사학습(supervised learning) 방법의 기계학습(machine learning)을 사용하고 있다. 하지만 Anti-Virus 업체의 분류기준은 Native API의 특징점을 반영하지 않았기 때문에 교사학습을 이용한 탐지에 적합한 학습집합을 제공하지 못한다. 따라서 Native API를 이용한 탐지에 적합한 분류기준에 대한 연구가 필요하다. 본 논문에서는 정량적으로 악성코드를 분류하기 위해 Native API를 기준으로 악성코드를 퍼지 군집화하여 재그룹화하는 방법을 제시한다. 제시하는 재그룹화 방법의 적합성은 기계학습을 이용한 탐지성능의 차이를 기존 분류방법을 결과와 비교하여 검증한다. The Native API is a system call which can only be accessed with the authentication of the administrator. It can be used to detect a variety of malicious codes which can only be executed with the administrator's authority. Therefore, much research is being done on detection methods using the characteristics of the Native API. Most of these researches are being done by using supervised learning methods of machine learning. However, the classification standards of Anti-Virus companies do not reflect the characteristics of the Native API. As a result the population data used in the supervised learning methods are not accurate. Therefore, more research is needed on the topic of classification standards using the Native API for detection. This paper proposes a method for re-grouping malicious codes using fuzzy clustering methods with the Native API standard. The accuracy of the proposed re-grouping method uses machine learning to compare detection rates with previous classifying methods for evaluation.
발효 뽕잎의 배양조건에 따른 알파-글루코시다제 저해활성
권오철 ( O-chul Kwon ),주완택 ( Wan-taek Ju ),김현복 ( Hyun-bok Kim ),성규병 ( Gyoo-byung Sung ),김용순 ( Yong-soon Kim ) 한국환경농학회 2018 한국환경농학회 학술대회집 Vol.2018 No.-
Mulberry (Morus alba L.) has widely distributed from the tropical, sub-tropical, and temperate regions of the world. It has long been used as a traditional medicine and foods in Korea, China, and Japan. Mulberry leaves possess the biologically active compounds such as 1-deoxynojirimycin (DNJ), rutin, quercetin, isoquercitrin, chorogenic acid, and caffeic acid. In particular, mulberry leaves have rich in iminosugar (N-containing sugar) including DNJ, and these compounds have a strong inhibitory effect for α-glucosidase. α-glucosidase inhibitor is usually used to prevent or medical care of type II diabetes. These inhibitors combine with intestine α-glucosidase and blocking the absorption of postprandial blood glucose. Researchers have reported that the human and rat small intestinal maltase and sucrase were strongly inhibited by mulberry leaf extract. These results were confirmed that the inhibition of maltase and sucrase was mainly due to the presence of DNJ. Mulberry leaves containing DNJ have been recognized as a potentially important source for prevent or treat hyperglycemia. However, DNJ content of natural mulberry leaf are as low as 0.1%. Thus, the most effective method for increasing α-glucosidase inhibitory activity with the DNJ high-production is needed. In this study, we investigated the influence of α-glucosidase inhibitory activity according to different pH values (6-9) and inoculation amounts (0.1-0.5%) when Bacillus subtilis cultured on mulberry leaf powder media. We confirmed that α-glucosidase inhibitory activity was difference according to culture conditions of different pH values, inoculation amounts, and fermentation times. The results of mulberry leaf fermentation according to pH values and inoculation amounts were shown that the optimal conditions for α-glucosidase inhibitory activity were defined as pH 7 and 9, inoculation amount 0.4%, and incubation until 2 to 4 days. These results can be provided a basic data for the optimal culture conditions increasing α-glucosidase inhibitory activity from mulberry leaf fermentation.
한국산 뽕나무 잎 12종의 플라보노이드에 대한 UPLC-DAD-QTOF/MS 분석
주완택 ( Wan-taek Ju ),권오철 ( O-chul Kwon ),김현복 ( Hyun-bok Kim ),성규병 ( Gyoo-byung Sung ),김용순 ( Yong-soon Kim ) 한국환경농학회 2018 한국환경농학회 학술대회집 Vol.2018 No.-
Flavonoids are a large group of polyphenolic compounds found in fruits, vegetables, and herbs. Plants of the genus Morus are known to be rich in flavonoids, including quercetin 3-(6-malonylglucoside), rutin, isoquercitin, cyanidin 3-rutinoside, and cyanidin 3-glucoside. These compounds are known to have potential antioxidant properties and probable roles in preventing oxidative stress-associated diseases. In this study, the total flavonoids in leaves of 12 varieties of Korean mulberry (Morus alba L.) were determined. Seventeen flavonoids were isolated and analyzed using ultra-performance liquid chromatography coupled with diode array detection and quadrupole time-of-flight mass spectrometry (UPLC-DAD-QTOF/MS). To determine the flavonoid contents, HPLC analysis was performed on these 17 flavonoids. The total flavonoid contents of the 12 varieties of mulberry leaves ranged from 748.5 to 1297.9 mg, with the highest obtained from the Cheong Su variety (1297.9±112.0 mg). Among the 17 flavonoids analyzed, quercetin 3-O-rutinoside (rutin) and quercetin 3-O-glucoside (isoquercitrin) had highest contents in the Cheong Su variety. Furthermore, the Dae Dang Sang variety gave the highest quercetin 3-O-rutinoside (rutin) content among the mulberry leaves investigated, at 425.5±45.9 mg. Major flavonols from Dae Dang Sang were detected by UPLC-DAD-QTOF/MS. A total of 17 flavonoid compound peaks were identified in the analysis time range of 5-40 min, all of which were kaempferol and quercetin glycosides. It has been observed that seven of the 17 compounds identified are reported in mulberry leaves for the first time, and further research will be. This study could provide basic information for mulberry breeding.