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Search: "[ keyword: LEA ]" (195)
오프라인 거래에서 개인정보 보호방안 : 주택임대차계약을 중심으로
김효석,
박순태,
김용민,
Vol. 30, No. 2, pp. 243-252,
4월.
2020
10.13089/JKIISC.2020.30.2.243
주제어: Privacy, personal information processing, housing lease agreement, Electronic contract, IRTS, Privacy, personal information processing, housing lease agreement, Electronic contract, IRTS
주제어: Privacy, personal information processing, housing lease agreement, Electronic contract, IRTS, Privacy, personal information processing, housing lease agreement, Electronic contract, IRTS
Adaptive Boosting을 사용한 패커 식별 방법 연구
장윤환,
박성준,
박용수,
Vol. 30, No. 2, pp. 169-177,
4월.
2020
10.13089/JKIISC.2020.30.2.169
주제어: computer security, information security, Malware detection, Machine learning., computer security, information security, Malware detection, Machine learning.
주제어: computer security, information security, Malware detection, Machine learning., computer security, information security, Malware detection, Machine learning.
신경망을 이용한 소프트웨어 취약 여부 예측 시스템
최민준,
구동영,
윤수범,
Vol. 29, No. 3, pp. 557-564,
6월.
2019
10.13089/JKIISC.2019.29.3.557
주제어: Artificial intelligence, Neural Network, Machine Learning, Fuzzing, software vulnerability, Artificial intelligence, Neural Network, Machine Learning, Fuzzing, software vulnerability
주제어: Artificial intelligence, Neural Network, Machine Learning, Fuzzing, software vulnerability, Artificial intelligence, Neural Network, Machine Learning, Fuzzing, software vulnerability
악성코드 분석의 Ground-Truth 향상을 위한 Unified Labeling과 Fine-Grained 검증
오상진,
박래현,
권태경,
Vol. 29, No. 3, pp. 549-555,
6월.
2019
10.13089/JKIISC.2019.29.3.549
주제어: Malware, Labeling, Machine Learning, clustering, Malware, Labeling, Machine Learning, clustering
주제어: Malware, Labeling, Machine Learning, clustering, Malware, Labeling, Machine Learning, clustering
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
주제어: Machine Learning, Anomaly Detection, Feature selection, Machine Learning, Anomaly Detection, Feature selection
공개 딥러닝 라이브러리에 대한 보안 취약성 검증
정재한,
손태식,
Vol. 29, No. 1, pp. 117-125,
2월.
2019
10.13089/JKIISC.2019.29.1.117
주제어: Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network, Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network
주제어: Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network, Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network
모바일 어플리케이션 개인정보 유출탐지 및 보안강화 연구
김성진,
허준범,
Vol. 29, No. 1, pp. 195-203,
2월.
2019
10.13089/JKIISC.2019.29.1.195
주제어: Mobile Application, Personal information leakage, Privacy, Security, Mobile Application, Personal information leakage, Privacy, Security
주제어: Mobile Application, Personal information leakage, Privacy, Security, Mobile Application, Personal information leakage, Privacy, Security
기계학습 기반 비트코인 채굴 난이도 예측 연구
이준원,
권태경,
Vol. 29, No. 1, pp. 225-234,
2월.
2019
10.13089/JKIISC.2019.29.1.225
주제어: Bitcoin, Mining difficulty, Time-series analysis, Predictive model, Machine Learning, Bitcoin, Mining difficulty, Time-series analysis, Predictive model, Machine Learning
주제어: Bitcoin, Mining difficulty, Time-series analysis, Predictive model, Machine Learning, Bitcoin, Mining difficulty, Time-series analysis, Predictive model, Machine Learning