Name
Abstract | ||
|---|---|---|
Nowadays, more and more devices are connected to the Internet, with enormous information transmitted on it. Malware spread through a local area network (LAN) can infect lots of internal users. A network intrusion detection system aims to safeguard a network from these malicious attacks. We proposed an efficient and adaptive intrusion measurement and detection approach based on protocol-wise associ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICAIIC51459.2021.9415195 | 2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) |
Keywords | DocType | ISBN |
Associative memory,Protocols,Neural networks,Hopfield neural networks,Prototypes,Network intrusion detection,Telecommunication traffic | Conference | 978-1-7281-7638-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuwei Sun | 1 | 2 | 2.78 |
| Hideya Ochiai | 2 | 3 | 3.13 |
| Hiroshi Esaki | 3 | 1 | 1.04 |