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입력 변이에 따른 딥러닝 모델 취약점 연구 및 검증
김재욱,
박래현,
권태경,
Vol. 31, No. 1, pp. 51-59,
2월.
2021
10.13089/JKIISC.2021.31.1.51
주제어: Deep Learning, Mutation, Adversarial machine learning, Deep Learning, Mutation, Adversarial machine learning
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Deep Learning, Mutation, Adversarial machine learning, Deep Learning, Mutation, Adversarial machine learning
서바이벌 네트워크 개념을 이용한 저자 식별 프레임워크: 의미론적 특징과 특징 허용 범위
황철훈,
신건윤,
김동욱,
한명묵,
Vol. 30, No. 6, pp. 1013-1021,
12월.
2020
10.13089/JKIISC.2020.30.6.1013
주제어: Authorship Atribution, Survial Network, Cal Graph, Cosine Simlarity, Suport Vector Machine, Authorship Atribution, Survial Network, Cal Graph, Cosine Simlarity, Suport Vector Machine
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Authorship Atribution, Survial Network, Cal Graph, Cosine Simlarity, Suport Vector Machine, Authorship Atribution, Survial Network, Cal Graph, Cosine Simlarity, Suport Vector Machine
AI를 통한 BEC (Business Email Compromise) 공격의 효과적인 대응방안 연구
이도경,
장건수,
이경호,
Vol. 30, No. 5, pp. 835-846,
10월.
2020
10.13089/JKIISC.2020.30.5.835
주제어: Business email compromise, BEC, SCAM, Social Engineering, email attack, Machine Learning, Business email compromise, BEC, SCAM, Social Engineering, email attack, Machine Learning
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Business email compromise, BEC, SCAM, Social Engineering, email attack, Machine Learning, Business email compromise, BEC, SCAM, Social Engineering, email attack, Machine Learning
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.
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: computer security, information security, Malware detection, Machine learning., computer security, information security, Malware detection, Machine learning.
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
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Machine Learning, Malware detection, Time Interval, AI, Machine Learning, Malware detection, Time Interval, AI
정적 분석과 앙상블 기반의 리눅스 악성코드 분류 연구
황준호,
이태진,
Vol. 29, No. 6, pp. 1327-1337,
12월.
2019
10.13089/JKIISC.2019.29.6.1327
주제어: Linux Malware, Machine Learning, Static Analysis, Linux Malware, Machine Learning, Static Analysis
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Linux Malware, Machine Learning, Static Analysis, Linux Malware, Machine Learning, Static Analysis