FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /

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Bibliographische Detailangaben
1. Verfasser:	Dey, Samrat Kumar
Körperschaft:	Supervised by Md. Mhbubur Rahman (Professor, Dept. of CSE, MIST.)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Dhaka : CSE DEPT MIST , c 2018.
Schlagworte:	Thesis paper of CSE in M.Sc Prog. Computer Science And Engineering.
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