Real Time Intrusion Detection System Using Computational Intelligence and Neural Network: A Review IJTSRD


Today, Intrusion detection system using neural network is interested and measurable area for the researchers. The computational intelligence describe based on following parameters such as computational speed, adaptation, error resilience and fault tolerance. A good intrusion detection system must be satisfied adaptable as requirements. The objective of this paper, provide an outline of the research progress via computational intelligence and neural network over the intrusion detection. In this paper focused, existing research challenges, review analysis, research suggestion regarding Intrusion detection system.

Dr. Prabha Shreeraj Nair”Real Time Intrusion Detection System Using Computational Intelligence and Neural Network: A Review”

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017,

URL: http://www.ijtsrd.com/papers/ijtsrd5781.pdf

http://www.ijtsrd.com/engineering/computer-engineering/5781/real-time-intrusion-detection-system-using-computational-intelligence-and-neural-network-a-review/dr-prabha-shreeraj-nair

call for paper Computer Engineering, international journal Mechanical Engineering, ugc approved journals for engineering




Real Time Intrusion Detection System Using Computational Intelligence and Neural Network: A Review IJTSRD IEEE PAPER





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