FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
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| Hovedforfatter: | |
|---|---|
| Institution som forfatter: | |
| Format: | Bog |
| Sprog: | engelsk |
| Udgivet: |
Dhaka :
CSE DEPT MIST ,
c 2018.
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| LEADER | 00000nam a22000007a 4500 | ||
|---|---|---|---|
| 001 | TP-1348 | ||
| 003 | BD-DhMIS | ||
| 005 | 20190312172711.0 | ||
| 008 | 190312t2018 bg ||||| |||| 00| 0 eng | ||
| 040 | |a BD-DhMIS |c BD-DhMIS | ||
| 100 | |a Dey, Samrat Kumar . | ||
| 245 | |a FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD / |c Samrat Kumar Dey. | ||
| 260 | |a Dhaka : |b CSE DEPT MIST , |c c 2018. | ||
| 300 | |a 72 p. : |b ill. ; |c 29 cm. | ||
| 541 | |e TP-1348 | ||
| 650 | |a Thesis paper of CSE in M.Sc Prog. | ||
| 650 | |a Computer Science And Engineering. | ||
| 710 | |a Supervised by Md. Mhbubur Rahman . |e Professor, Dept. of CSE, MIST. | ||
| 942 | |2 ddc |c TP | ||
| 999 | |c 6954 |d 6954 | ||