Using Machine Learning for Determining Network Robustness of Multi-Agent Systems Under Attacks.
Guang WangMing XuYiming WuNing ZhengJian XuTong QiaoPublished in: PRICAI (2018)
Keyphrases
- machine learning
- multi agent systems
- traffic analysis
- network anomaly detection
- security threats
- network attacks
- network structure
- fault injection
- denial of service attacks
- agent architecture
- data mining
- autonomous agents
- peer to peer
- learning algorithm
- machine learning algorithms
- network traffic
- natural language processing
- network intrusion
- multi agent
- feature selection
- machine learning methods
- complex networks
- agent systems
- ddos attacks
- wireless sensor networks
- cooperative
- end hosts