Name
Abstract | ||
|---|---|---|
Traffic anomaly detection has been a principal direction in the network security field, which aims to identify attacks based on significant deviations from the established normal usage profiles. Recently, a new networking paradigm, software defined networking (SDN), has emerged to facilitate effective network control and management. In this paper, we present the advantages of leveraging SDN to det... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JIOT.2017.2694702 | IEEE Internet of Things Journal |
Keywords | Field | DocType |
Clustering algorithms,Algorithm design and analysis,Feature extraction,Training data,Computer crime,Intrusion detection | Anomaly detection,Algorithm design,Computer science,Network security,Computer network,Feature extraction,Cluster analysis,Network control,Software-defined networking,Intrusion detection system,Distributed computing | Journal |
Volume | Issue | ISSN |
4 | 6 | 2327-4662 |
Citations | PageRank | References |
3 | 0.39 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daojing He | 1 | 1013 | 58.40 |
| Sammy Chan | 2 | 902 | 66.93 |
| Xiejun Ni | 3 | 3 | 0.39 |
| Mohsen Guizani | 4 | 6456 | 557.44 |