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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.
10.13089/JKIISC.2020.30.2.169
주제어: computer security, information security, Malware detection, Machine learning., computer security, information security, Malware detection, Machine learning.
악성메일 훈련 모델에 관한 연구
강영묵,
이상진,
Vol. 30, No. 2, pp. 197-212,
4월.
2020
10.13089/JKIISC.2020.30.2.197
주제어: Malicious Mail, Malware, Reversing, Training, Security Awareness, Malicious Mail, Malware, Reversing, Training, Security Awareness
10.13089/JKIISC.2020.30.2.197
주제어: Malicious Mail, Malware, Reversing, Training, Security Awareness, Malicious Mail, Malware, Reversing, Training, Security Awareness
API Call Time Interval을 활용한 머신러닝 기반의 악성코드 탐지
조영민,
권헌영,
Vol. 30, No. 1, pp. 51-58,
2월.
2020
10.13089/JKIISC.2020.30.1.51
주제어: Machine Learning, Malware detection, Time Interval, AI, Machine Learning, Malware detection, Time Interval, AI
10.13089/JKIISC.2020.30.1.51
주제어: Machine Learning, Malware detection, Time Interval, AI, Machine Learning, Malware detection, Time Interval, AI
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
10.13089/JKIISC.2019.29.3.549
주제어: Malware, Labeling, Machine Learning, clustering, Malware, Labeling, Machine Learning, clustering
악성코드 패밀리 분류를 위한 API 특징 기반 앙상블 모델 학습
이현종,
어성율,
황두성,
Vol. 29, No. 3, pp. 531-539,
6월.
2019
10.13089/JKIISC.2019.29.3.531
주제어: Malware detection, Malware classification, Feature selection, Tree-based Ensemble, Malware detection, Malware classification, Feature selection, Tree-based Ensemble
10.13089/JKIISC.2019.29.3.531
주제어: Malware detection, Malware classification, Feature selection, Tree-based Ensemble, Malware detection, Malware classification, Feature selection, Tree-based Ensemble
