Abstract:The authors introduce an enhanced HTML5 (H5) Cross-Site Scripting (H5-XSS) attack vector defensive model that safeguards and maintains the confidentiality of users accessing the web applications hosted on the fog nodes. Initially, the model performs in self-training manner and estimates some features of H5 script code at the simulated desktop host systems of cloud infrastructure. Second, a process of H5 feature estimation gets re-executed for the online generated HTTP response on the edge network of fog device… Show more
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