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Artificial Neural Networks Architecture for Intrusion Detection Systems and Classification of Attacks
White Paper Neural networks method is a promising technique, which has been used in many classification problems. The ubiquity of the Internet poses serious concerns on the security of computer infrastructures and the integrity of sensitive data. [03 Jul 2008]
Network-Based Intrusion Detection Using Neural Networks
White Paper With the growth of computer networking, electronic commerce, and web services, security of networking systems has become very important. This paper shows that evidence of many of these attacks can be found by a careful analysis of network data. [19 Jun 2008]
Artificial Neural Networks Architecture for Intrusion Detection Systems and Classification of Attacks
Neural networks method is a promising technique, which has been used in many classification problems. The ubiquity of the Internet poses serious concerns on the security of computer infrastructures and the integrity of sensitive data. [12 Jun 2008]
Hybrid Intelligent Intrusion Detection System
White Paper The techniques that are being investigated includes neural networks and fuzzy logic with network profiling, that uses simple data mining techniques to process the network data. Artificial Intelligence plays a driving role in security services. [31 May 2008]
Measuring Data Quality: Predictive Accuracy Vs. Similarity of Decision Trees
White Paper In this paper the authors experimentally evaluate the data quality by comparing the prediction capability of decision trees and neural networks, built from original and perturbed datasets. The effectiveness of such techniques is typically evaluated... [01 Feb 2007]
The Bloor Perspective: Credit card fraud, Big player results, and SANs
Comment As long as there is enough data to populate the neural net (including a reasonable smattering of fraudulent transactions) it should be possible to identify the combinations of variables that have a high probability of fraud. [29 Oct 2001]
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