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Search: "[ author: 이경호 ]" (59)
안드로이드 환경에서 개인정보 처리방침의 투명성 확보방안에 관한 연구: GDPR을 기반으로
백인주,
오준형,
이경호,
Vol. 29, No. 6, pp. 1477-1489,
12월.
2019
10.13089/JKIISC.2019.29.6.1477
주제어: Privacy Policy, transparency, Security, GDPR, Android Application, Privacy Policy, transparency, Security, GDPR, Android Application
10.13089/JKIISC.2019.29.6.1477
주제어: Privacy Policy, transparency, Security, GDPR, Android Application, Privacy Policy, transparency, Security, GDPR, Android Application
사이버 공격 대비 가동 물리장치에 대한 실시간 간접 상태감시시스템 설계 및 구현
장원구,
이경호,
Vol. 29, No. 6, pp. 1447-1461,
12월.
2019
10.13089/JKIISC.2019.29.6.1447
주제어: Combat Assessment, Cyber Battle Damage Assessment, Cyberspace, Cyber Attack, Combat Assessment, Cyber Battle Damage Assessment, Cyberspace, Cyber Attack
10.13089/JKIISC.2019.29.6.1447
주제어: Combat Assessment, Cyber Battle Damage Assessment, Cyberspace, Cyber Attack, Combat Assessment, Cyber Battle Damage Assessment, Cyberspace, Cyber Attack
FIDO2 CTAP을 활용한 전자서명 방법
조한구,
이경호,
Vol. 29, No. 5, pp. 1049-1062,
10월.
2019
10.13089/JKIISC.2019.29.5.1049
주제어: FIDO2, CTAP, WebAuthn, certificate, ActiveX, Plug-in, FIDO2, CTAP, WebAuthn, certificate, ActiveX, Plug-in
10.13089/JKIISC.2019.29.5.1049
주제어: FIDO2, CTAP, WebAuthn, certificate, ActiveX, Plug-in, FIDO2, CTAP, WebAuthn, certificate, ActiveX, Plug-in
제조공정 단말PC 작업자 접속 로그를 통한 이상 징후 탐지 모델 연구
안종성,
이경호,
Vol. 29, No. 2, pp. 321-330,
4월.
2019
10.13089/JKIISC.2019.29.2.321
주제어: Machine Learning, Anomaly Detection, Feature selection, Machine Learning, Anomaly Detection, Feature selection
10.13089/JKIISC.2019.29.2.321
주제어: Machine Learning, Anomaly Detection, Feature selection, Machine Learning, Anomaly Detection, Feature selection
Filter Method와 Classification 알고리즘을 이용한 전자상거래 블랙컨슈머 탐지에 대한 연구
이태규,
이경호,
Vol. 28, No. 6, pp. 1499-1508,
12월.
2018
10.13089/JKIISC.2018.28.6.1499
주제어: Machine Learning, Supervised Learning, Fraud Detection, User Classification, Feature selection, Machine Learning, Supervised Learning, Fraud Detection, User Classification, Feature selection
10.13089/JKIISC.2018.28.6.1499
주제어: Machine Learning, Supervised Learning, Fraud Detection, User Classification, Feature selection, Machine Learning, Supervised Learning, Fraud Detection, User Classification, Feature selection
컴플라이언스 기반의 발전된 모바일 기기 생체 인증 모델
정용헌,
이경호,
Vol. 28, No. 4, pp. 879-888,
8월.
2018
10.13089/JKIISC.2018.28.4.879
주제어: Fin-tech, FIDO, Biometric Authentication, Trusted environment, Distributed management, Fin-tech, FIDO, Biometric Authentication, Trusted environment, Distributed management
10.13089/JKIISC.2018.28.4.879
주제어: Fin-tech, FIDO, Biometric Authentication, Trusted environment, Distributed management, Fin-tech, FIDO, Biometric Authentication, Trusted environment, Distributed management
AHP를 활용한 IP-CCTV 위험 결정 모델(클라우드 컴퓨팅 기반으로)
정성후,
이경호,
Vol. 28, No. 1, pp. 229-239,
2월.
2018
10.13089/JKIISC.2018.28.1.229
주제어: IP-CCTV, Cloud computing, Threat risk modeling, Analytic Hierarchy Process(AHP), IP-CCTV, Cloud computing, Threat risk modeling, Analytic Hierarchy Process(AHP)
10.13089/JKIISC.2018.28.1.229
주제어: IP-CCTV, Cloud computing, Threat risk modeling, Analytic Hierarchy Process(AHP), IP-CCTV, Cloud computing, Threat risk modeling, Analytic Hierarchy Process(AHP)
