补偿模糊推理及其在DoS攻击检测中的应用研究

Jingjiao Li, Cholman Ho, Sonil Gwak, Zhenni Li, Zongho Choe
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引用次数: 2

摘要

模糊推理方法在不同的应用领域已经证明了其解决不同类型问题的能力。目前,人们对增加新的模糊推理原理和方法的速度和处理能力越来越感兴趣。本文提出了一种模糊推理方法(补偿模糊推理),并将其应用于DoS攻击检测。由于该方法不基于传统的组合运算,操作简单,可用于解决不同类型的问题。此外,测试结果表明,该方法比其他方法更快,对DoS攻击检测有效。通过对现有推理方法和应用的比较,证明了所提方法的有效性。这种推理方法为我们在人工智能问题等各个应用领域提供了各种实现能力。
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Research on Compensation Fuzzy Reasoning and application in DoS attack detection
Fuzzy reasoning methods have demonstrated their ability to solve different kinds of problems in various applications domains. Currently, there is an increasing interest to augment new fuzzy reasoning principles and methods with speeding and processing capabilities. This paper points out a kind of fuzzy reasoning (CFR: Compensation Fuzzy Reasoning), and its application on DoS attack detection. Because proposed method is not based on traditional compositional operation and its operation is simple, it could be used to solve different kinds of problems. In addition, test results explained that proposed method is faster than others and it is effective on DoS attack detection. Through comparison of the existing reasoning method and application, effectiveness of proposed method is shown. This reasoning method gives us various abilities of realization in various applications domains as artificial intelligence problem and so on.
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