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

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.