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机构地区:[1]河南机电高等专科学校计科系,河南新乡453000
出 处:《科技通报》2014年第8期104-106,共3页Bulletin of Science and Technology
基 金:河南省教育厅自然科学研究计划项目(2011B520010)
摘 要:网络系统的安全访问是网络技术发展中必须解决的首要问题。传统的网络系统安全访问控制方法采用基于统计学的数据分析方法,在对网络访问数据进行统计分析的基础上,分类识别网络系统的正常访问数据和异常数据,此方法网络防护效率低。提出一种蚁群分布进化的高效网络安全防护方法,首先将所有的访问数据分层,然后采用蚁群分布算法对每个单独的数据群进行处理,在蚁群分布处理的基础上,迭代实现系统的数据识别,达到高效网络防护的目的。最后采用实际访问数据进行测试实验,结果显示,采用蚁群分布进化算法,网络系统的安全性能提高,具有很好的应用价值。The network security access was the most key problem that must be solved in the network technology develop-ment. In traditional network security access control method, the statistical data analysis method was used in network access data for statistical analysis, with the classification system, the normal network access data and the abnormal data was divid-ed, but which worked poor with much data access. A method of high efficient network security protection was proposed based on ant distribution evolutionary, first of all, the access data was treated with stratification, then ant distribution algo-rithm was used in the data group for each individual processing, with the basis of distributed processing, the data was identi-fied to achieve efficient network protection purposes. Finally, an actually access experiment was done for testing, and the re-sult shows that with ant distribution evolutionary algorithm, the network security performance is greatly improved, it has good application value.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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