Real-time network anomaly detection system using machine learning
Year
: 2015DOI: 10.1109/DRCN.2015.7149025
Collections
:
-
Statistics
Real-time network anomaly detection system using machine learning
Show full item record
| contributor author | Shuai Zhao | |
| contributor author | Mayanka Chandrashekar | |
| contributor author | Yugyung Lee | |
| contributor author | Deep Medhi | |
| date accessioned | 2020-03-15T12:47:58Z | |
| date available | 2020-03-15T12:47:58Z | |
| date issued | 2015 | |
| identifier other | 8ypFXvjRCqJbxT1AgDfTUuE9ZbrNt2FyEU02WgBAGpRtpJVccC.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1949045?locale-attribute=en | |
| format | general | |
| language | English | |
| title | Real-time network anomaly detection system using machine learning | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 13591644 | |
| identifier doi | 10.1109/DRCN.2015.7149025 | |
| journal title | 2015 11th International Conference on the Design of Reliable Communication Networks (DRCN) | |
| coverage | Academic | |
| filesize | 730126 | |
| citations | 1 |