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  • Search: subject:"Cross-site Scripting"
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Year of publication
Subject
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Artificial intelligence 1 Browser Security 1 COnline Social Network (OSN) Security 1 Cloud Computing Security 1 Code Injection 1 Computer security 1 Context-Sensitive Sanitization 1 Cross-Site Scripting 1 Cross-Site Scripting (XSS) Attacks 1 Cross-Site Scripting (XSS) Worms 1 Cross-site Scripting 1 Cross-site scripting attacks 1 DOM-Based XSS Vulnerabilities 1 Data security 1 Datensicherheit 1 Deep learning 1 Document Object Model (DOM) Tree 1 Feature engineering 1 Feature fusion 1 Fog Computing 1 Fuzzy Logic System 1 HTML5 Web Applications 1 IT crime 1 IT-Kriminalität 1 Künstliche Intelligenz 1 Machine learning 1 Network Security 1 Remote File Inclusion 1 Risk Assessment 1 SQL Injection 1 Session Vulnerablity 1 Vulnerability Detection 1 Web Application Security 1 Web Security 1 XSS 1
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Online availability
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Undetermined 3 Free 2 CC license 1
Type of publication
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Article 4 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 4 Undetermined 1
Author
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Gupta, Shashank 2 Abu Zitar, Raed 1 Abualigah, Laith Mohammad Qasim 1 Chaudhary, Pooja 1 Gentile, Mauro 1 Gupta, B. B. 1 Gupta, B.B. 1 Haddad, Hisham 1 Jia, Heming 1 Raza, Ali 1 Shahriar, Hossain 1 Thalji, Nisrean 1 Younas, Faizan 1 d’Amore, Fabrizio 1
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Institution
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Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti", Facoltà di Ingegneria dell'Informazione Informatica e Statistica 1
Published in...
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DIAG Technical Reports 1 Decision analytics journal 1 International Journal of Cloud Applications and Computing (IJCAC) 1 International Journal of Secure Software Engineering (IJSSE) 1 International Journal of Web Services Research (IJWSR) 1
Source
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Other ZBW resources 3 ECONIS (ZBW) 1 RePEc 1
Showing 1 - 5 of 5
Cover Image
An efficient artificial intelligence approach for early detection of cross-site scripting attacks
Younas, Faizan; Raza, Ali; Thalji, Nisrean; Abualigah, … - In: Decision analytics journal 11 (2024), pp. 1-13
Cross-Site Scripting (XSS) attacks continue to pose a significant threat to web applications, compromising the security … novel approach named LSTM-TFIDF (LSTF) for feature extraction, which combines temporal and TFIDF features from the cross-site … scripting dataset, resulting in a new feature set. Extensive research experiments demonstrate that the random forest method …
Persistent link: https://www.econbiz.de/10015101966
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Automatic and Context-Aware Cross-Site Scripting Filter Evasion
d’Amore, Fabrizio; Gentile, Mauro - Dipartimento di Ingegneria Informatica, Automatica e … - 2012
Cross-Site Scripting (XSS) is a pervasive vulnerability that involves a huge portion of modern web applications …
Persistent link: https://www.econbiz.de/10010595362
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Enhancing the Browser-Side Context-Aware Sanitization of Suspicious HTML5 Code for Halting the DOM-Based XSS Vulnerabilities in Cloud
Gupta, B.B.; Gupta, Shashank; Chaudhary, Pooja - In: International Journal of Cloud Applications and … 7 (2017) 1, pp. 1-31
This article presents a cloud-based framework that thwarts the DOM-based XSS vulnerabilities caused due to the injection of advanced HTML5 attack vectors in the HTML5 web applications. Initially, the framework collects the key modules of web application, extracts the suspicious HTML5 strings...
Persistent link: https://www.econbiz.de/10012043367
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Smart XSS Attack Surveillance System for OSN in Virtualized Intelligence Network of Nodes of Fog Computing
Gupta, Shashank; Gupta, B. B. - In: International Journal of Web Services Research (IJWSR) 14 (2017) 4, pp. 1-32
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...
Persistent link: https://www.econbiz.de/10012048759
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Fuzzy Rule-Based Vulnerability Assessment Framework for Web Applications
Shahriar, Hossain; Haddad, Hisham - In: International Journal of Secure Software Engineering (IJSSE) 7 (2016) 2, pp. 1-18
This paper addresses the problem of assessing risk in web application due to implementation level vulnerabilities. In particular, the authors address the common research challenge of finding enough historical data to compute the probability of vulnerabilities and exploitations. They develop a...
Persistent link: https://www.econbiz.de/10012048071
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