DocumentCode :
1336108
Title :
Intrusion Detection System with Wavelet and Neural Artifical Network Approach for Networks Computers
Author :
Ferreira, Ed´ Wilson T. ; Carrijo, G.A. ; de Oliveira, R. ; de Souza Araujo, Nelcileno V.
Volume :
9
Issue :
5
fYear :
2011
Firstpage :
832
Lastpage :
837
Abstract :
As the Internet has become an enormous interconnected network, the information security today is very important to guarantee confidentiality, integrity and availability of computing resources. Advanced Intrusions Detections Systems IDS should be capable of identifying malicious actions that may compromise these guarantees, as quickly as possible. In this paper, we present a proposal for an IDS based on the wavelet and artificial neural network that is applied to the well know Knowledge Discovery and Data Mining KDD. The experiment showed high detection rate, suggesting that the approach is very promising.
Keywords :
Internet; data mining; neural nets; security of data; wavelet transforms; IDS; Internet; artificial neural network approach; computer networks; data mining KDD; intrusion detection system; knowledge discovery; Computers; Conferences; Intrusion detection; Mobile ad hoc networks; Neural networks; Wavelet transforms; Intrusion Detection Systems IDS; artificial neural network; network security; wavelet;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2011.6030997
Filename :
6030997
Link To Document :
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