摘要
针对多安全政策支持结构,特别是通用访问控制框架在加入多个安全政策后效率明显下降的问题,该文借用人工免疫系统的一些原理,通过引入免疫识别、免疫学习和免疫记忆等机制,提出一个基于免疫功能的通用访问控制框架。仿真实验表明,该框架有效提高了系统访问控制决策的效率,具备一定的自适应能力和多样性。
With regard to the problem that the efficiency of the classical multi-policies supporting mechanism, namely the Generalized Framework for Access Control（GFAC）, markedly declines after enforcing several policy modules, a novel access control framework based on immunity is constructed with employing multiple principles and mechanisms of the artificial immune system, such as the immune recognition, the immune learning and the immune memory. Simulation result shows that IGFAC is able to improve the performance of the original GFAC, and it has some self-adaptive capabilities and diversity behaviors.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第16期198-200,共3页
Computer Engineering
基金
国家自然科学基金资助项目(60603026)
关键词
访问控制
信息安全
人工免疫系统
自适应
access control
information security： artificial immune system
self-adaptive
