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

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Bibliografiska uppgifter
Huvudupphov:	Dey, Samrat Kumar
Institutionellt upphov:	Supervised by Md. Mhbubur Rahman (Professor, Dept. of CSE, MIST.)
Materialtyp:	Bok
Språk:	engelska
Utgiven:	Dhaka : CSE DEPT MIST , c 2018.
Ämnen:	Thesis paper of CSE in M.Sc Prog. Computer Science And Engineering.
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Liknande verk: FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /

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