초록
영어
With the increase in cyber data attacks, the manual method of investigating cyber-attacks is more prone to errors and is time consuming. With the increase in advanced cyber threat attacks with the same patterns, timely investigation is not possible. There are many systems proposed which analyse and predict threats using various machine learning methods. In this various models apply machine learning algorithms to analyse and predict cyber-attacks.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Methods Used For Cyber Threat Analysis
2.1. Latent Semantic Indexing
2.2. Clustering
2.3. Game Theory
2.4. Decision Tree
2.5. Neural Networks
Ⅲ. Literature Survey
Ⅳ. Conclusion
References
Ⅰ. Introduction
Ⅱ. Methods Used For Cyber Threat Analysis
2.1. Latent Semantic Indexing
2.2. Clustering
2.3. Game Theory
2.4. Decision Tree
2.5. Neural Networks
Ⅲ. Literature Survey
Ⅳ. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보