在网络流量中搜索恶意输入并自动修复验证

发布时间：2018-02-23 06:11

本文关键词： 识别恶意输入重放流量入侵反应安全的自我修复自动修复验证　出处：《计算机工程与设计》2013年12期 　论文类型：期刊论文

【摘要】：为了真正实施自我修复技术,提高它们在系统中信任级别,在它自动发展后,"修复"的功效必须进行测试和验证。但在实际部署之前,由于攻击的特性,这种验证必须是自动进行,该问题称为自动修复验证(automatic repair validation,ARV)。为了说明ARV所面临的困难,提出了一种系统的设计,该系统跟踪和存储恶意的网络流量,为自我修复软件在验证阶段后重放提供条件。实例验证了该方法的可行性。
[Abstract]:In order to really implement self-repair technology and improve their trust level in the system, the efficacy of "repair" must be tested and verified after it has developed automatically. But before it is actually deployed, due to the nature of the attack, This kind of verification must be done automatically. This problem is called automatic repair validation verification. In order to explain the difficulties faced by ARV, a system design is proposed, which tracks and stores malicious network traffic. This paper provides the conditions for the self-repairing software to be replayed after the verification stage. The feasibility of the method is verified by an example.
【作者单位】：信息工程大学数学工程与先进计算国家重点实验室;
【分类号】：TP393.08

【相似文献】