Name
Abstract | ||
|---|---|---|
A method based on score level fusion using logistic regression has been developed that uses packet header information to classify Internet applications. Applications are classified not on the basis of the individual flows for each type of application but on the basis of all the flows for each type of application, i.e., the "overall traffic flow." The overall traffic flow is divided into equal time slots, and the applications are classified using statistical information obtained for each time slot. Evaluation using overall traffic flow generated by five types of applications showed that its true and false positive rates are better than those of methods using feature level fusion. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1587/transcom.2015EBP3380 | IEICE TRANSACTIONS ON COMMUNICATIONS |
Keywords | Field | DocType |
traffic, QoS, application identification, score level fusion | Computer science,Fusion,Quality of service,Computer network | Journal |
Volume | Issue | ISSN |
E99B | 6 | 0916-8516 |
Citations | PageRank | References |
0 | 0.34 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masatsugu Ichino | 1 | 24 | 7.61 |
| Hiroaki Maeda | 2 | 4 | 0.76 |
| Hiroshi Yoshiura | 3 | 3 | 2.84 |