Improved Genetic Feedback Algorithm Based Network Security Policy Frame Work

被引：12
|
作者：
Mishra, Atish [1 ]
Jhapate, Arun Kumar [2 ]
Kumar, Prakash [3 ]
机构：
[1] GGITM, Comp Sci & Engn, Bhopal, India
[2] LNCT, Comp Sci & Engn, Bhopal, India
[3] JIIT, Comp Sci & Engn, Noida, India
来源：
SECOND INTERNATIONAL CONFERENCE ON FUTURE NETWORKS: ICFN 2010 | 2010年
关键词：
genetic feedback algorithm; network security policy framework; fitness function threshold;
D O I：
10.1109/ICFN.2010.96
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Earlier the model suggested was much generalized and simple. It was lacking in clarity about the functioning of its components, which made it difficult to be implemented. In this paper an improved model for the security policy framework is suggested, in which functioning of each component and there interconnectivity is explained clearly. The fitness functions for the system and which parameter can be used to decide to define a gene for a network event is also discussed and a method to calculate the fitness of a network event is also given.
引用
收藏
页码：8 / 10
页数：3
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