【作者】 裴庆祺；

【导师】 马建峰；

【作者基本信息】 西安电子科技大学 ， 计算机系统结构， 2004， 硕士

【摘要】 本文在研究了现有入侵检测系统和模糊技术的基础上，讨论了一种基于模糊技术的入侵检测系统模型，将模糊系统较高的准确性、明确的针对性和较好的适应性运用于入侵检测系统，克服目前入侵检测系统存在的效率低、灵活性和升级能力有限等缺陷，从而提高整个系统的安全性和可用性。 论文在分析模糊入侵检测系统的基础上，还着重研究了运用决策树、遗传算法生成与动态修改入侵规则集的方法。 在最后，运用模糊入侵检测系统对文件完整性、资源可用性的检测进行了讨论。更多还原

【Abstract】 This thesis begins with a study of the current intrusion detection system (IDS) and fuzzy technology, followed by a discussion of the fuzzy technology based intrusion detection system (IDS) model, in which the high reparability, accurate correspondence and good adaptability of the fuzzy system are applied in the intrusion detection system(IDS) so as to overcome such defects as low efficiency, poor flexibility and low up gradibility in the present intrusion detection system (IDS) and thus improve the security and applicability of the whole system.Also presented in this thesis is a study of the method for the generation and dynamic modification of the intrusion rule set through the decision tree and genetic algorithm, which is the emphasis of this thesis.This thesis concludes with a discussion of the detection of the completeness of the file and the availability of the recourses by applying the fuzzy intrusion detection system.更多还原