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首页> 外文期刊>Latin America Transactions, IEEE (Revista IEEE America Latina) >Intrusion Detection System with Wavelet and Neural Artifical Network Approach for Networks Computers
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Intrusion Detection System with Wavelet and Neural Artifical Network Approach for Networks Computers

机译:网络计算机的小波和神经网络入侵检测系统

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摘要

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.
机译:随着Internet已成为一个庞大的互连网络,当今的信息安全对于保证计算资源的机密性,完整性和可用性非常重要。高级入侵检测系统IDS应该能够尽快识别可能破坏这些保证的恶意行为。在本文中,我们提出了一种基于小波和人工神经网络的IDS的建议,该建议已应用于众所周知的知识发现和数据挖掘KDD。实验显示出较高的检测率,表明该方法非常有前途。

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