Enhancing intrusion detection: a hybrid machine and deep learning approach
Air University · King Saud University · +4 more institutions
Abstract
Abstract The volume of data transferred across communication infrastructures has recently increased due to technological advancements in cloud computing, the Internet of Things (IoT), and automobile networks. The network systems transmit diverse and heterogeneous data in dispersed environments as communication technology develops. The communications using these networks and daily interactions depend on network security systems to provide secure and reliable information. On the other hand, attackers have increased their efforts to render systems on networks susceptible. An efficient intrusion detection system is essential since technological advancements embark on new kinds of attacks and security limitations.…
Citation impact
- FWCI
- 64.93
- Percentile
- 100%
- References
- 58
Authors
7Topics & keywords
- Computer science
- Intrusion detection system
- Artificial intelligence
- Machine learning
- Feature selection
- Benchmark (surveying)
- Convolutional neural network
- Deep learning
- Industry, innovation and infrastructure