| Title | Research on the technical application of artificial intelligence in network intrusion detection system |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Lu, Chaofan |
| Conference Name | 2022 International Conference on Electronics and Devices, Computational Science (ICEDCS) |
| Keywords | artificial intelligence, composability, compositionality, Computational Intelligence, cryptography, information processing, Information security, network intrusion detection, Network security, Neural networks, privacy, pubcrawl, Scientific computing, security, surveillance |
| Abstract | Network intrusion detection technology has been a popular application technology for current network security, but the existing network intrusion detection technology in the application process, there are problems such as low detection efficiency, low detection accuracy and other poor detection performance. To solve the above problems, a new treatment combining artificial intelligence with network intrusion detection is proposed. Artificial intelligence-based network intrusion detection technology refers to the application of artificial intelligence techniques, such as: neural networks, neural algorithms, etc., to network intrusion detection, and the application of these artificial intelligence techniques makes the automatic detection of network intrusion detection models possible. |
| DOI | 10.1109/ICEDCS57360.2022.00031 |
| Citation Key | lu_research_2022 |
Research on the technical application of artificial intelligence in network intrusion detection system