AI Bibliography
AI Bibliography |
|
 |
 |
 |
|
Xin, Y., Kong, L., Liu, Z., Chen, Y., Li, Y., & Zhu, H., et al.. (2018). Machine learning and deep learning methods for cybersecurity. IEEE Access, 6, 35365–35381. |
| Resource type: Journal Article BibTeX citation key: Xin2018 View all bibliographic details  |
Categories: Artificial Intelligence, Computer Science, Data Sciences, Decision Theory, General, Military Science Subcategories: Decision making, Deep learning, Machine intelligence, Machine learning, Machine recognition, Military research, Q-learning Creators: Chen, Gao, Hou, Kong, Li, Liu, Wang, Xin, Zhu Publisher: Collection: IEEE Access |
| Attachments |
| Abstract |
|
With the development of the Internet, cyber-attacks are changing rapidly and the cyber security situation is not optimistic. This survey report describes key literature surveys on machine learning (ML) and deep learning (DL) methods for network analysis of intrusion detection and provides a brief tutorial description of each ML/DL method. Papers representing each method were indexed, read, and summarized based on their temporal or thermal correlations. Because data are so important in ML/DL methods, we describe some of the commonly used network datasets used in ML/DL, discuss the challenges of using ML/DL for cybersecurity and provide suggestions for research directions.
|