원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.9 No.5
2015.05
pp.205-216
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Hybrid Malicious Code Detection Model Based on Deep Learning
2.1 AutoEncoder Dimensionality Reduction
2.2 DBN Deep Learning Structure
2.3 Hybrid Malicious Code Detection based on DBN and AutoEncoder
3. Experimental Results and Analysis
3.1 Analysis and Pretreatment of Experimental Data
3.2 Evaluation Index Experimental Results
3.3 Comparison of Experimental Tesults
4. Conclusion
References
1. Introduction
2. Hybrid Malicious Code Detection Model Based on Deep Learning
2.1 AutoEncoder Dimensionality Reduction
2.2 DBN Deep Learning Structure
2.3 Hybrid Malicious Code Detection based on DBN and AutoEncoder
3. Experimental Results and Analysis
3.1 Analysis and Pretreatment of Experimental Data
3.2 Evaluation Index Experimental Results
3.3 Comparison of Experimental Tesults
4. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보