Term Papers on Artificial Neural Networks For Misuse Detection from Term Papers Lab.
Below is a free excerpt of our term paper on Artificial Neural Networks For Misuse Detection
Abstract:
Misuse detection is the process of attempting to identify instances of network attacks by
comparing current activity against the expected actions of an intruder. Most current approaches
to misuse detection involve the use of rule-based expert systems to identify indications of known
attacks. However, these techniques are less successful in identifying attacks which vary from
expected patterns. Artificial neural networks provide the potential to identify and classify
network activity based on limited, incomplete, and nonlinear data sources. We present an
approach to the process of misuse detection that utilizes the analytical strengths of neural
networks, and we provide the results from our preliminary analysis of this approach.
Keywords: Intrusion detection, misuse detection, neural networks, computer security.
1. Introduction
Because of the increasing dependence which companies and government agencies have on their
computer networks the importance of......
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Title: Artificial Neural Networks For Misuse Detection
Approximate Word Count: 4864
Approximate Pages: 20 (250 words per double-spaced page)
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Artificial Neural Networks For Misuse Detection
Artificial Neural Networks for Misuse Detection. Abstract: Misuse detection
is the process of attempting to identify instances of ... ... -
Isu Search Department Of Computer Science Center For Computational ...
... V. Learning Classifiers for Misuse and Anomaly ... Intelligent Agents for Intrusion
Detection. ... the Second International Conference on Artificial Neural Networks. ... ...
