包过滤中的风险检测模型方法

S. Gulyamov, F. Sagatova
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引用次数: 0

摘要

本文描述了Petri网图的模糊知识和推理。建立了模糊Petri网包过滤规则风险检测的数学模型。提出了一种能够提供包过滤性能的两级模糊包过滤系统模型。该模型采用模糊Petri网作为图形化方法来描述数据包通过防火墙运动的模糊逻辑控制,并允许其确定来自Internet的数据包所嵌入的威胁级别,并通过确定数据包的接受和拒绝等级来改变acl的顺序。在该模型中,数据包用一个令牌代替模糊Petri网来表示,数据包的操作用模糊Petri网的过渡来说明,模糊Petri网负责将数据包从一个地方移动到另一个地方。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method of Risk Detection Model in Packet Filtering
This article describes Petri net diagrams for fuzzy knowledge and reasoning. A mathematical model of fuzzy Petri nets to detect risks in rules by packet filtering is formed. A model of a two-level fuzzy packet filtering system that provides packet filtering perfor-mance is presented. This model uses fuzzy Petri net as a graphical method to describe the fuzzy logical control of the movement of packets through the firewall and allows it to determine the level of threat embedded in packets from the Internet and to change the or-der of ACLs by determining the rating of acceptance and rejection of packets. In the proposed model, the packet is represented by a token in place of fuzzy Petri nets, and the operation of the packet is illustrated by the transition of fuzzy Petri net, which is responsible for moving the packet from one place to another.
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