[图书][B] Deep learning neural networks: design and case studies

D Graupe - 2016 - books.google.com
Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as
a powerful computational tool for solving prediction, decision, diagnosis, detection and …

[PDF][PDF] Performance comparison for intrusion detection system using neural network with KDD dataset

S Devaraju, S Ramakrishnan - ICTACT Journal on Soft Computing, 2014 - academia.edu
Abstract Intrusion Detection Systems are challenging task for finding the user as normal user
or attack user in any organizational information systems or IT Industry. The Intrusion …

[图书][B] Principles of artificial neural networks: basic designs to deep learning

D Graupe - 2019 - books.google.com
The field of Artificial Neural Networks is the fastest growing field in Information Technology
and specifically, in Artificial Intelligence and Machine Learning. This must-have …

Performance analysis of intrusion detection system using various neural network classifiers

S Devaraju, S Ramakrishnan - 2011 international conference …, 2011 - ieeexplore.ieee.org
In recent years, the security has become a critical part of any organizational information
systems. The intrusion detection system is an effective approach to deal with the problems of …

[PDF][PDF] Intrusion detection system in wireless sensor networks: a review

A Ananthakumar, T Ganediwal… - International Journal of …, 2015 - pdfs.semanticscholar.org
The security of wireless sensor networks is a topic that has been studied extensively in the
literature. The intrusion detection system is used to detect various attacks occurring on …

[PDF][PDF] Detection of accuracy for intrusion detection system using neural network classifier

S Devaraju, S Ramakrishnan - Int. J. Emerg. Technol. Adv. Eng, 2013 - Citeseer
In recent years, the security has become a critical part of any industrial and organizational
information systems. The intrusion detection system is an effective approach to deal with the …

[PDF][PDF] A review of intrusion detection technique using various technique of machine learning and feature optimization technique

S Patel, J Sondhi - International Journal of Computer Applications, 2014 - academia.edu
Cyber'terrorism has recently been said to be the biggest threat to our modern society. Every
day a new cyber-scare story makes the headlines. The national government recognizes the …

[PDF][PDF] Anomaly intrusion detection system using hierarchical gaussian mixture model

M Bahrololum, M Khaleghi - … journal of computer science and network …, 2008 - academia.edu
Summary Intrusion Detection Systems have been widely used to overcome security threats
in computer networks and to identify unauthorized use, misuse, and abuse of computer …

[PDF][PDF] Performance comparison of intrusion detection system using various techniques–A review

S Devaraju, S Ramakrishnan - ICTACT Journal on Communication …, 2013 - ictactjournals.in
Nowadays, the security has become a critical part of any organization or industry information
systems. The Intrusion Detection System is an effective method to deal with the new kind of …

A novel hybrid feature selection and intrusion detection based on PCNN and support vector machine

A Shrivastava, M Baghel… - International journal of …, 2013 - search.proquest.com
This paper proposed a hybrid model for feature selection and intrusion detection. Feature
selection is an important issue in intrusion detection. The selection of feature in attack …