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DC Field | Value | Language |
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dc.contributor.author | Gupta, Shashank | - |
dc.date.accessioned | 2024-10-30T09:58:39Z | - |
dc.date.available | 2024-10-30T09:58:39Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007/s12652-018-1118-3 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16290 | - |
dc.description.abstract | XSS is well-thought-out to be an industry-wide problem that is affecting the diverse contemporary web platforms. The collection of most recent web application reports revealed that XSS reserved the topmost position among all other cyber-attacks. This survey article wishes to present the improvements related to XSS worm defensive methodologies. We have enlarged our discussion to different classes of XSS attacks, i.e., non-persistent, persistent, DOM-Based and mutation-based XSS attacks that has recently stated in the state-of-art. This complete survey offers full vision into the classification, avoidance, recognition and alleviation mechanisms of such attacks. In addition, broad solution classification has been designed for the classification of approaches used by numerous contributions. This article discusses the impact of real world XSS worms and the associated recent real world incidents of such worms. Existing client-side, server-side, proxy-enabled and certain other XSS defensive techniques was presented with an aim to recognize their key contributions and the current performance concerns. In the end, we present certain future research guidelines, a complete mechanism and the associated requirements towards the designing of an effective and robust XSS defensive methodology. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Web application | en_US |
dc.subject | XSS worm defensive | en_US |
dc.title | Evaluation and monitoring of XSS defensive solutions: a survey, open research issues and future directions | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Computer Science and Information Systems |
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