Intrusion Detection based on Improved Genetic Algorithm and Deep Belief Network
Date:
Contributions:
Through multiple iterations of the GA, the optimal number of hidden layers and the number of neurons in each layer are generated.
The intrusion detection model based on the DBN achieves a high detection rate with a compact structure.
The first work to explore the network optimization using GA.
Outcomes:
- Zhang, Ying, Peisong Li, and Xinheng Wang. “Intrusion detection for IoT based on improved genetic algorithm and deep belief network.” *IEEE Access 7 (2019): 31711-31722. (Cited: 291, JCR Q2, IF=3.9)
- 张颖；李培嵩。一种网络入侵检测模型建立方法及网络入侵检测方法，专利号：ZL 201910016149.1