Artificial Neural Networks for Misuse Detection
作者： James Cannady
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摘要: Misuse detection is the process of attempting to identify instances network attacks by comparing current activity against expected actions an intruder. Most approaches misuse involve use rule-based expert systems indications known attacks. However, these techniques are less successful in identifying which vary from patterns. Artificial neural networks provide potential and classify based on limited, incomplete, nonlinear data sources. We present approach that utilizes analytical strengths networks, we results our preliminary analysis this approach.
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