Preventing network intrusion using deep neural network-A survey
| Author(s) | : | P.S.Gaikwad, Priyanka Kamble, Deepanjali Khamkar, Mokshada Hambir, Poonam Dhere |
| Institution | : | Computer Engineering,AISSMS’s IOIT, Pune |
| Published In | : | Vol. 4, Issue 16 — January 2017 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
IDS is a standout amongst the most fundamental segment for security foundations in organize conditions, and itis broadly utilized as a part of recognizing, distinguishing and following the gatecrashers and shielding endeavor systems.Programming Defined Networking (SDN) is a developing engineering that is dynamic, sensible, financially savvy, andversatile, making it perfect for the high-data transfer capacity, dynamic nature of the present applications.System .IntrusionDetection System (NIDS) shields a system from noxious programming assaults. To keep a few sorts of assaults we utilizearrange interruption recognition framework in programming characterized organize and secure our framework
P.S.Gaikwad, Priyanka Kamble, Deepanjali Khamkar, Mokshada Hambir, Poonam Dhere, “Preventing network intrusion using deep neural network-A survey”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 16, pp. -, January 2017.
