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DEA 모형을 이용한 주요정보통신기반시설 취약점 분석·평가의 효율성 분석
선종욱,
이경호,
Vol. 31, No. 4, pp. 853-862,
8월.
2021
10.13089/JKIISC.2021.31.4.853
주제어: DEA(Data Envelopment Analysis), Security efficiency, Major information and communication infrastructure
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: DEA(Data Envelopment Analysis), Security efficiency, Major information and communication infrastructure
엣지 컴퓨팅 환경에서 추적 데이터 서버를 통한 데이터 추적
임한울,
윤주범,
Vol. 31, No. 3, pp. 443-452,
6월.
2021
10.13089/JKIISC.2021.31.3.443
주제어: Edge Computing, IoT, Data Tracking, Distributed File System, Data Deletion
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Edge Computing, IoT, Data Tracking, Distributed File System, Data Deletion
왜곡 저항력이 강한 저작권 침해 영상 저작물 판별 기법
유호제,
오수현,
김찬희,
정아윤,
Vol. 31, No. 3, pp. 387-400,
6월.
2021
10.13089/JKIISC.2021.31.3.387
주제어: Copyright Protection Technology, Illegal streaming video, Illegal copy video, Skeleton
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Copyright Protection Technology, Illegal streaming video, Illegal copy video, Skeleton
국내 중소 제조 기업 실정에 적합한 Modbus 프로토콜 취약점 대응 대책 연구
유정훈,
고승철,
배춘석,
Vol. 31, No. 2, pp. 245-262,
4월.
2021
10.13089/JKIISC.2021.31.2.245
주제어: ICS Protocol, Modbus protocol, CIP, Industrial Control System, ICS Security Checklist, ICS Protocol, Modbus protocol, CIP, Industrial Control System, ICS Security Checklist
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: ICS Protocol, Modbus protocol, CIP, Industrial Control System, ICS Security Checklist, ICS Protocol, Modbus protocol, CIP, Industrial Control System, ICS Security Checklist
방산기술보호를 위한 방산기술 마스터 데이터 관리 체계구현 방안
박흥순,
김세용,
권혁진,
Vol. 31, No. 1, pp. 111-122,
2월.
2021
10.13089/JKIISC.2021.31.1.111
주제어: National Defense, Defense Industry, Defense Technology Security, Master Data Management(MDM), National Defense, Defense Industry, Defense Technology Security, Master Data Management(MDM)
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: National Defense, Defense Industry, Defense Technology Security, Master Data Management(MDM), National Defense, Defense Industry, Defense Technology Security, Master Data Management(MDM)
함수 생략 오류를 이용하는 AES에 대한 신규 차분 오류 공격
김주환,
이종혁,
한동국,
Vol. 30, No. 6, pp. 1263-1270,
12월.
2020
10.13089/JKIISC.2020.30.6.1263
주제어: Side-Channel Attack, Differential fault attack, AES, Instruction Skipping, Function Skipping, Side-Channel Attack, Differential fault attack, AES, Instruction Skipping, Function Skipping
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Side-Channel Attack, Differential fault attack, AES, Instruction Skipping, Function Skipping, Side-Channel Attack, Differential fault attack, AES, Instruction Skipping, Function Skipping
COVID-19 접촉자 추적 기술에 대한 평가 기준 마련 및 보안성 비교 분석
이호준,
이상진,
Vol. 30, No. 6, pp. 1151-1166,
12월.
2020
10.13089/JKIISC.2020.30.6.1151
주제어: COVID-19, Contact Tracing, Threat modeling, STRIDE, LINDDUN, COVID-19, Contact Tracing, Threat modeling, STRIDE, LINDDUN
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: COVID-19, Contact Tracing, Threat modeling, STRIDE, LINDDUN, COVID-19, Contact Tracing, Threat modeling, STRIDE, LINDDUN
산업제어망 보안 컴플라이언스를 위한 패치 영향성 평가 방안에 관한 실증 연구
최인지,
김승주,
Vol. 30, No. 6, pp. 1141-1149,
12월.
2020
10.13089/JKIISC.2020.30.6.1141
주제어: Security Compliance, Industrial Control System, Patch Impact Assessment, Patch Deployment, Security Compliance, Industrial Control System, Patch Impact Assessment, Patch Deployment
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Security Compliance, Industrial Control System, Patch Impact Assessment, Patch Deployment, Security Compliance, Industrial Control System, Patch Impact Assessment, Patch Deployment
Bidirectional Convolutional LSTM을 이용한 Deepfake 탐지 방법
이대현,
문종섭,
Vol. 30, No. 6, pp. 1053-1065,
12월.
2020
10.13089/JKIISC.2020.30.6.1053
주제어: Deepfake, LSTM, Attention module, Artificial intelligence, Time distribution., Deepfake, LSTM, Attention module, Artificial intelligence, Time distribution.
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Deepfake, LSTM, Attention module, Artificial intelligence, Time distribution., Deepfake, LSTM, Attention module, Artificial intelligence, Time distribution.