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SEC-H5: Secure and efficient integration of settings of enhanced HTML5 XSS vector defensive framework on edge network of fog nodes

机译:SEC-H5:在雾节点的边缘网络上安全有效地集成增强的HTML5 XSS矢量防御框架的设置

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摘要

The authors introduce an enhanced HTML5 (H5) Cross-Site Scripting (H5-XSS) attack vectordefensive model that safeguards and maintains the confidentiality of users accessing the webapplications hosted on the fog nodes. Initially, the model performs in self-training manner andestimates some features of H5 script code at the simulated desktop host systems of cloudinfrastructure. Second, a process of H5 feature estimation gets re-executed for the onlinegenerated HTTP response on the edge network of fog device. Any oddity in these two featuressets results in the consequent nested context-familiar sanitization of the distrustful script codeon an installed fog nodes. The author design their framework structure on an open applicationinfrastructural structure of Cisco Iox framework of various networked edge devices as fognodes. The authors configure the tested bed of H5 web platforms on the nodes of the fogcomputing network for evaluating the malicious script alleviation capability of their model.Evaluation outcomes expose that the author's technique is skilled sufficient for sensing andexcluding the suspicious H5 code with sufferable percentage of False Negatives (FNs), FalsePositives (FPs), and reduced overall performance overhead during the peak congestion ofgeneration of sanitized HTTP response on the fog nodes.
机译:作者介绍了一种增强的HTML5(H5)跨站点脚本(H5-XSS)攻击媒介 r n防御模型,该模型可以保护和维护用户访问雾节点上托管的Web n应用的机密性。最初,该模型以自训练的方式执行,并且 r 在云 r n基础架构的模拟桌面主机系统上优化了H5脚本代码的某些功能。其次,针对雾设备边缘网络上的在线 HTTP响应,重新执行H5特征估计过程。这两个功能的任何奇怪之处都导致随之而来的嵌套上下文熟悉的不信任脚本代码的清理,没有安装雾节点。作者在各种网络边缘设备的Cisco Iox框架的开放应用程序 r n基础结构上设计了他们的框架结构,例如fog r nnodes。作者在fog r n计算网络的节点上配置了经过测试的H5 Web平台,以评估其模型的恶意脚本缓解能力。 r n评估结果表明,作者的技术足以感知和 r n不包括可疑的H5代码,其误码率(FN),误码率(FP)的百分比较高,并且在雾节点上生成的HTTP响应的峰值拥塞期间降低了总体性能开销。

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