Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16299
Title: | An Infrastructure-Based Framework for the Alleviation of JavaScript Worms from OSN in Mobile Cloud Platforms |
Authors: | Gupta, Shashank |
Keywords: | Computer Science JavaScript (JS) Online Social Network (OSN) Uniform Resource Identifier (URI) |
Issue Date: | Sep-2016 |
Publisher: | Springer |
Abstract: | This paper presents an infrastructure-based mobile cloud computing framework that obstructs the execution of JavaScript (JS) worms injected from the untrustworthy remote servers. The execution of such worms triggers the Cross-Site Scripting (XSS) attack on the mobile cloud-based Online Social Network (OSN). The framework executes in two steps. Initially, it extracts the Uniform Resource Identifier (URI) links embedded in the HTTP response for extracting the untrusted JS links/code. Secondly, our framework generates the Document Object Model (DOM) tree corresponding to each extracted HTTP response. This tree is explored for the script nodes and extracts the embedded JS code. Now, both these extracted set of JS code will be explored for the detection of similar code. Such similar code will simply point towards the untrusted JavaScript code that will be utilized by an attacker to exploit the vulnerabilities of XSS attack on the OSN. The prototype of our framework was developed in Java and integrated the functionality of its components on the virtual machines of mobile cloud platforms. The experimental testing and performance evaluation of our work was carried out on the open source OSN websites that are integrated in the virtual cloud servers. Evaluation results revealed that our framework is capable enough to detect the untrusted JS worms with very high precision rate, fewer rates of false positives and acceptable performance overhead |
URI: | https://link.springer.com/chapter/10.1007/978-3-319-46298-1_7 http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16299 |
Appears in Collections: | Department of Computer Science and Information Systems |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.