【作者】 吴梅梅；

【导师】 王凤先；

【作者基本信息】 河北大学 ， 计算机应用技术， 2010， 硕士

【摘要】 伴随着计算机网络的发展,计算机的安全也面临着新的挑战,传统的信息安全方法已不能有效的解决这些问题。人们把生物免疫机理应用到计算机系统和计算机网络安全中,提出了计算机免疫系统,它克服了传统方法的被动和不灵活的缺点。本文主要介绍了计算机免疫系统的重要功能部件—知识库。给出了知识库的构造、知识库的一致性,并对知识库中规则的提取方法进行了研究,采用Apriori算法提取规则,提出了该算法三种改进策略:优化连接策略、数据划分策略和减少交易数据策略。在知识库的构造中,本文将知识库设计成分布式数据库的形式,给出了知识库中的表结构、表的存取操作;并且将本地规则库设计成主动数据库的形式,从而可以提高计算机免疫系统在紧急情况下的执行效率;给出了保持各客户机知识库规则一致性的策略:消息队列法,并给出了消息队列法的系统框架。更多还原

【Abstract】 With the development of computer network, computer security also faces to some new challenges. Traditional information safety measures cannot resolve these problems effectively. Then natural immune system is applies to computer system and network security , also brings forward computer immune system. Computer immune system overcomes the disadvantages of traditional passivity and stagnant.In this paper, a brief part-knowledge base of computer immune system is designed and its consistency is discussed. Apriori algorithm is used to extract rules and three improved strategies are put forward: optimizing connection, data compartmentalization and reducing business data. In the constitution of the knowledge base, it is designed to distributed database. and the tables and its accessing operations are given. The native rule base is devised to active database in order to enhance the efficiency of the computer immune system. Message queue is used to maintenance data consistency of different copies and the system frame is also given.更多还原