By Topic

Intrusion Detection System with Wavelet and Neural Artifical Network Approach for Networks Computers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)

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.

Published in:

IEEE Latin America Transactions  (Volume:9 ,  Issue: 5 )