International Journal of Trend in Scientific Research and Development


Online-Issn No :
2456-6470
Print-Issn No :
XXXX
Language :
English
Publisher :
R Patel

Indexed - 2019 : IPI Value (4.22)


Optimized Intrusion Detection System using Deep Learning Algorithm


Article PDF :

Veiw Full Text PDF

Article type :

Original Article

Author :

Prof P. Damodharan | K. Veena | Dr N. Suguna

Volume :

3

Issue :

2

Abstract :

A method and a system for the detection of an intrusion in a computer network compare the network traffic of the computer network at multiple different points in the network. In an uncompromised network the network traffic monitored at these two different points in the network should be identical. A network intrusion detection system is mostly place at strategic points in a network, so that it can monitor the traffic traveling to or from different devices on that network. The existing Software Defined Network SDN proposes the separation of forward and control planes by introducing a new independent plane called network controller. Machine learning is an artificial intelligence approach that focuses on acquiring knowledge from raw data and, based at least in part on the identified flow, selectively causing the packet, or a packet descriptor associated with the packet. The performance is evaluated using the network analysis metrics such as key generation delay, key sharing delay and the hash code generation time for both SDN and the proposed machine learning SDN. by Prof P. Damodharan | K. Veena | Dr N. Suguna "Optimized Intrusion Detection System using Deep Learning Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21447.pdf Paper URL: https://www.ijtsrd.com/engineering/other/21447/optimized-intrusion-detection-system-using-deep-learning-algorithm/prof-p-damodharan

Keyword :

-

Doi :

https://doi.org/10.31142/ijtsrd21447

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