CVEfixes: automated collection of vulnerabilities and their fixes from open-source software
Data-driven research on the automated discovery and repair of security vulnerabilities in
source code requires comprehensive datasets of real-life vulnerable code and their fixes. To …
source code requires comprehensive datasets of real-life vulnerable code and their fixes. To …
Cross-site scripting (XSS) attacks and mitigation: A survey
The results of the Cisco 2018 Annual Security Report show that all analyzed web
applications have at least one vulnerability. It also shows that web attacks are becoming …
applications have at least one vulnerability. It also shows that web attacks are becoming …
ConvXSS: A deep learning-based smart ICT framework against code injection attacks for HTML5 web applications in sustainable smart city infrastructure
In this paper we propose ConvXSS, a novel deep learning approach for the detection of XSS
and code injection attacks, followed by context-based sanitization of the malicious code if …
and code injection attacks, followed by context-based sanitization of the malicious code if …
A Systematic Literature Review on Software Vulnerability Prediction Models
The prediction of software vulnerability requires crucial awareness during the software
specification, design, development, and configuration to achieve less vulnerable and secure …
specification, design, development, and configuration to achieve less vulnerable and secure …
Enhancing big data security through integrating XSS scanner into fog nodes for SMEs gain
Advancement in embedded Nano-technologies empowers IoT technology which serves as
the backbone technology for many small and medium enterprises. Evolution of smart …
the backbone technology for many small and medium enterprises. Evolution of smart …
TChecker: Precise static inter-procedural analysis for detecting taint-style vulnerabilities in PHP applications
PHP applications provide various interfaces for end-users to interact with on the Web. They
thus are prone to taint-style vulnerabilities such as SQL injection and cross-site scripting. For …
thus are prone to taint-style vulnerabilities such as SQL injection and cross-site scripting. For …
Predicting web vulnerabilities in web applications based on machine learning
Building a secure website is time-consuming, expensive and challenging task for web
developers. Researchers to identify webpage sinks to address security efforts, as it helps to …
developers. Researchers to identify webpage sinks to address security efforts, as it helps to …
Cross site scripting attacks classification using convolutional neural network
J Kumar, A Santhanavijayan… - … and Informatics (ICCCI), 2022 - ieeexplore.ieee.org
The global nature of web applications puts them at a high risk of attacks from different
locations and with various levels of severity and complexity. Cross-Site Scripting (XSS) is a …
locations and with various levels of severity and complexity. Cross-Site Scripting (XSS) is a …
Web vulnerability through Cross Site Scripting (XSS) detection with OWASP security shepherd
RM Wibowo, A Sulaksono - Indonesian Journal of Information …, 2021 - ojs.uajy.ac.id
Web applications are needed as a solution to the use of internet technology that can be
accessed globally, capable of displaying information that is rich in content, cost effective …
accessed globally, capable of displaying information that is rich in content, cost effective …
Performance evaluation of Convolutional Neural Network for web security
Due to the daily use of web applications in several critical domains such as banking and
online shopping, cybersecurity has become a challenge. Recently, deep learning …
online shopping, cybersecurity has become a challenge. Recently, deep learning …