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가우시안 혼합 변분 오토인코더를 활용한 네트워크 침입 탐지 시스템
성창민(ChangMin Seong),송영록(YoungRok Song),박종혁(JongHyeok Park),정윤경(YunGyung Cheong) 한국정보과학회 2021 한국정보과학회 학술발표논문집 Vol.2021 No.6
네트워크 침입 탐지 시스템(NIDS)은 네트워크 상에서 발생하는 트래픽 중 악의적인 트래픽을 탐지하는 시스템이다. 본 논문에서는 비지도 클러스터링을 수행하는 가우시안 혼합 변분 오토인코더(Gaussian Mixture Variational Autoencoder) 모델로 학습된 잠재 군집 클래스 라벨 y로 정상 또는 공격을 판별하는 방식의 탐지 시스템을 제안한다. NIDS 평가 데이터 셋인 NSL-KDD로 다른 지도 학습 모델들과의 탐지 성능을 비교하고, 테스트 데이터의 잠재 벡터 플롯을 그려 군집화 성능을 시각화 하였다.
정하진 ( Hajin Jeong ),김지연 ( Jiyeon Kim ),최인수 ( Insu Choi ),성창민 ( Changmin Seong ),박자윤 ( Jayun Park ),박지영 ( Jiyeong Park ),안아진 ( Ahjin An ),곽진주 ( Jinju Gwak ),장미선 ( Miseon Jang ),서계원 ( Kyewon Seo ),김용환 ( 한국동물위생학회(구 한국가축위생학회) 2020 韓國家畜衛生學會誌 Vol.43 No.1
Hepatitis E Virus (HEV) infection is a worldwide disease and the primary cause of acute viral hepatitis in the world. It can be isolated from many different species including pigs. HEV is a zoonotic pathogen and foodborne disease. The main animal reservoir is domestic pigs. It is usually asymptomatic in pig but it is a public health concern, causing acute hepatitis in humans of varying severity. This study focused on the presence of HEV in pig and pork product. One hundred feces and one hundred fifty serum samples were randomly collected from pigs in slaughterhouses in Gwangju from November in 2018 to February in 2020. In addtion, seventy-five pork products were collected from markets in Gwangju. Feces and pork product samples were examined for the presence of HEV RNA using an reverse-transcription realtime PCR (RT-qPCR) assay. Serum samples were tested for the presence of HEV-specific IgG antibodies using Enzyme-linked immunosorbent assay (ELISA). HEV antigen and antibody positive rates were 3.0% (3/100) and 19.3% (29/150), respectively, in Gwangju and nearby areas such as Jeonnam and Jeonbuk. However, HEV antigen was not detected from any of pork product in this study. In conclusion, the prevalence of HEV should be continuously monitored because HEV was sporadically detected in Gwangju and nearby areas.