Secure defense control for memristive recurrent neural networks under denial-of-service attacks with quantized sampled-data signals.
Di DongRuimei ZhangYunjia ChengLei ZhangXiangpeng XieJianying XiaoPublished in: Neural Comput. Appl. (2024)
Keyphrases
- recurrent neural networks
- sampled data
- denial of service attacks
- ddos attacks
- neural network
- echo state networks
- feed forward
- dos attacks
- image reconstruction
- artificial neural networks
- control system
- lightweight
- network security
- intrusion detection
- intrusion detection system
- feature selection
- learning algorithm
- data sets
- security issues
- continuous domains
- security threats
- genetic algorithm