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Smart XSS Attack Surveillance System for OSN in Virtualized Intelligence Network of Nodes of Fog Computing

Smart XSS Attack Surveillance System for OSN in Virtualized Intelligence Network of Nodes of Fog Computing

Shashank Gupta, B. B. Gupta
Copyright: © 2017 |Volume: 14 |Issue: 4 |Pages: 32
ISSN: 1545-7362|EISSN: 1546-5004|EISBN13: 9781522511144|DOI: 10.4018/IJWSR.2017100101
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MLA

Gupta, Shashank, and B. B. Gupta. "Smart XSS Attack Surveillance System for OSN in Virtualized Intelligence Network of Nodes of Fog Computing." IJWSR vol.14, no.4 2017: pp.1-32. http://doi.org/10.4018/IJWSR.2017100101

APA

Gupta, S. & Gupta, B. B. (2017). Smart XSS Attack Surveillance System for OSN in Virtualized Intelligence Network of Nodes of Fog Computing. International Journal of Web Services Research (IJWSR), 14(4), 1-32. http://doi.org/10.4018/IJWSR.2017100101

Chicago

Gupta, Shashank, and B. B. Gupta. "Smart XSS Attack Surveillance System for OSN in Virtualized Intelligence Network of Nodes of Fog Computing," International Journal of Web Services Research (IJWSR) 14, no.4: 1-32. http://doi.org/10.4018/IJWSR.2017100101

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Abstract

This article introduces a distributed intelligence network of Fog computing nodes and Cloud data centres for smart devices against XSS vulnerabilities in Online Social Network (OSN). The cloud data centres compute the features of JavaScript, injects them in the form of comments and saved them in the script nodes of Document Object Model (DOM) tree. The network of Fog devices re-executes the feature computation and comment injection process in the HTTP response message and compares such comments with those calculated in the cloud data centres. Any divergence observed will simply alarm the signal of injection of XSS worms on the nodes of fog located at the edge of the network. The mitigation of such worms is done by executing the nested context-sensitive sanitization on the malicious variables of JavaScript code embedded in such worms. The prototype of the authors' work was developed in Java development framework and installed on the virtual machines of Cloud data centres (typically located at the core of network) and the nodes of Fog devices (exclusively positioned at the edge of network). Vulnerable OSN-based web applications were utilized for evaluating the XSS worm detection capability of the authors' framework and evaluation results revealed that their work detects the injection of XSS worms with high precision rate and less rate of false positives and false negatives.

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