원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.8 No.1
2014.01
pp.291-294
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Malicious-code scanning tools are practically available for identifying suspicious websites. However, such tools only warn users about suspicious sites and do not provide clues as to why the sites were hacked and which vulnerability was responsible for the attack. In addition, the huge number of alarms burdens mangers while executing in-time-response duties. In this paper, a process involving feature modeling and data-mining techniques is proposed to help solve such problems.
목차
Abstract
1. Introduction
2. The Proposed Process for Identifying Vulnerability Features
2.1. Data Collection by Malicious Code Finder (MCFinder) – STEP 1
2.2. Severity Quantification and Class Labeling – STEP 2
2.3. Survey of Exposed Vulnerabilities – STEP 3
2.4. Vulnerability Feature Modeling – STEP 4
2.5. Classifier Model Training and Evaluation – STEP 5-6
2.6. High-Impact Feature Selection – STEP 7
3. Conclusion
Acknowledgments
References
1. Introduction
2. The Proposed Process for Identifying Vulnerability Features
2.1. Data Collection by Malicious Code Finder (MCFinder) – STEP 1
2.2. Severity Quantification and Class Labeling – STEP 2
2.3. Survey of Exposed Vulnerabilities – STEP 3
2.4. Vulnerability Feature Modeling – STEP 4
2.5. Classifier Model Training and Evaluation – STEP 5-6
2.6. High-Impact Feature Selection – STEP 7
3. Conclusion
Acknowledgments
References
저자정보
참고문헌
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