FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
Spremljeno u:
| Glavni autor: | |
|---|---|
| Autor kompanije: | |
| Format: | Knjiga |
| Jezik: | engleski |
| Izdano: |
Dhaka :
CSE DEPT MIST ,
c 2018.
|
| Teme: | |
| Oznake: |
Bez oznaka, Budi prvi tko označuje ovaj zapis!
|
Slični predmeti: FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
- FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- DESIGNING SOFTWARE DEFINED RADIO (SDR) FOR SECURED MULTIMODE WIDEBAND OPERATION /
- ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS /
- METAHEURISTIC SEARCH-BASED FEATURE SET SELECTION TECHNIQUES FOR CREDIT CARD FRAUD DETECTION /
- A DEEP LEARNING-BASED APPROACH FOR DETECTING BANGLA SPAM EMAILS /