摘要
分析研究了网格安全的特点以及网格环境下的入侵检测技术,并针对传统入侵检测技术难以适应动态的网格计算环境等问题,根据生物免疫原理提出了一种基于免疫遗传算法的网格入侵检测模型。该模型采用了一种将免疫算法和遗传算法结合使用的混合算法,与标准遗传算法相比,该算法既保留了遗传算法随机全局并行搜索的特点,又在很大程度上避免了未成熟收敛,确保快速收敛于全局最优解;算法具有较好的效率和收敛性,提高了该模型的多样性和自适应性。
Thecharacteristic of grid security and imrusion detection technology are analyzed in this article. Being that conventional intrusion detection systems can not adapt to the dynamic grid environment, a grid intrusion detection model based on application of biology immunity theory and immune genetic algorithm is proposed, which adopts an algorithm blending by immunity algorithm and genetic algorithm. Compared with the standard genetic algorithm, this algorithm reserves the capability of random global parallel search of genetic algorithm, avoids immaturity convergence in great sense,and assures convergence to the global optimized solution. The algorithm has better efficiency and constringency, and improves the diversity and self- adaptability of the model.
出处
《计算机技术与发展》
2009年第5期162-165,169,共5页
Computer Technology and Development
基金
四川省科技计划项目资助(2006j13-101)
关键词
网格安全
入侵检测
虚拟组织
免疫遗传算法
grid security
intrusion detection
virtual organization
immune genetic algorithm
