融合神经与免疫机理的信息系统仿生免疫模型

A Bionic Information System Immune Model Integrating Neural and Immune Mechanisms

针对现有信息系统缺乏有效主动防御模型、安全体系与信息系统融合不充分的问题,提出一种融合神经与免疫机理的仿生免疫模型。模仿人体神经控制系统与免疫系统高效的安全防御机理,借鉴其独特的“感知-策略-效应-反馈”工作机制与自适应的免疫算法,从整体架构入手,将安全体系和信息系统高度融合。通过各仿生安全组件的高效联动,实现信息感知分布性、控制适应性、防御主动性。实验结果表明,提出的融合神经与免疫机理的仿生免疫模型面对安全风险能够主动防御,自适应调整安全策略,维持系统任务的稳态运转。融合神经与免疫机理的仿生免疫模型为信息系统仿生免疫的实现提供了理论架构支撑。

A bionic immune model adapted from human immune mechanisms and neural control mechanisms is proposed in response to the problem of inadequate design and insufficient fusion in the current computer immune system. By imitating the unique working mechanism including the adaptive immune strategy and the pipeline of "perception-strategy-effect-feedback" from the human immune control system,our model allows for an improved security defense design with flexible control and active defense capabilities. Meanwhile, the efficient linkage of bionic safety components enables a heightened architectural integration of safety systems and information systems in our model.The experimental results show that the proposed bionic immune model integrating human immune and neural control mechanisms can achieve active defense against security risks and adaptive adjustment of security policies while maintaining the steady operation of the system, which provides a theoretical framework for the realization of the computer immune system.