Name
Abstract | ||
|---|---|---|
Traffic anomaly detection is a key research topic for large scale communication networks. Traditional network entropy has been proved to be an effective metric on network traffic anomaly detection. However, such a method also shows limitations in large scale networks with constantly changing packet flows, which makes the traditional entropy based method inefficient for traffic anomaly detection. T... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MASS52906.2021.00079 | 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS) |
Keywords | DocType | ISSN |
Measurement,Conferences,Telecommunication traffic,Entropy,Communication networks,Anomaly detection | Conference | 2155-6806 |
ISBN | Citations | PageRank |
978-1-6654-4935-9 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaowei Li | 1 | 0 | 0.34 |
| Changda Wang | 2 | 13 | 4.30 |
| An Tang | 3 | 0 | 0.34 |