DocumentCode
3253205
Title
Back propagation neural network approach to Intrusion Detection System
Author
Mukhopadhyay, I. ; Chakraborty, M. ; Chakrabarti, S. ; Chatterjee, T.
Author_Institution
Dept. of Inf. Technol., Inst. of Eng. & Manage., India
fYear
2011
fDate
21-23 Dec. 2011
Firstpage
303
Lastpage
308
Abstract
As the Internet is growing - so is the vulnerability of the network. Companies now days are spending huge amount of money to protect their sensitive data from different attacks that they face. In this paper, we propose a new methodology towards developing an Intrusion Detection System (IDS) based on Back-Propagation Neural Network (BPN) model. The proposed system was simulated using Matlab2010a utilizing benchmark intrusion KDDCUP´99 dataset to verify its feasibility and effectiveness.
Keywords
backpropagation; neural nets; security of data; BPN model; IDS; Matlab2010a; backpropagation neural network; intrusion detection system; Biological neural networks; Error analysis; Intrusion detection; Neurons; Telecommunication traffic; Training; back propagation neural networks (BPN); intrusion detection system (IDS);
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Trends in Information Systems (ReTIS), 2011 International Conference on
Conference_Location
Kolkata
Print_ISBN
978-1-4577-0790-2
Type
conf
DOI
10.1109/ReTIS.2011.6146886
Filename
6146886
Link To Document