CAJ | 학술논문

将人工免疫技术应用于网络系统风险评估中,提出并实现了一种基于免疫的网络风险分布式定量评估模型.模型依据生物免疫系统之抗体浓度的变化与病原体入侵强度的对应关系,对网络系统当前安全状况进行实时、定量的分析,从而有效地缓解网络攻击对系统造成的危害,提高网络系统的应急保障能力.仿真实验表明,模型能实时有效地对网络系统的风险进行评估,是网络安全保障的一个较好解决方案.
장인공면역기술응용우망락계통풍험평고중,제출병실현료일충기우면역적망락풍험분포식정량평고모형.모형의거생물면역계통지항체농도적변화여병원체입침강도적대응관계,대망락계통당전안전상황진행실시、정량적분석,종이유효지완해망락공격대계통조성적위해,제고망락계통적응급보장능력.방진실험표명,모형능실시유효지대망락계통적풍험진행평고,시망락안전보장적일개교호해결방안.
Artificial immune technology was applied to network risk assessment technology and a distributed quantitative evaluation model for network risk based on immune was proposed.According to corresponding relation between the changes of antibody concentration of biological immune system and the invasion of strength of pathogens,the model makes real-time and quantitative analysis on the current safety situation of network to effectively relieve the damage generated by network on the system attack and improve the emergency security ability of network information system.The experimental results show that the system can adjust the network security policy timely and effectively and offer the more comprehensive security,which is a better solution to solve network security.