Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review
With the rising demand for E-commerce, Social Networking websites, it has become
essential to develop security protocols over the World Wide Web that can provide security …
essential to develop security protocols over the World Wide Web that can provide security …
A Comprehensive Analysis of Explainable AI for Malware Hunting
In the past decade, the number of malware variants has increased rapidly. Many
researchers have proposed to detect malware using intelligent techniques, such as Machine …
researchers have proposed to detect malware using intelligent techniques, such as Machine …
[HTML][HTML] Dynamic feature selection model for adaptive cross site scripting attack detection using developed multi-agent deep Q learning model
Web applications' popularity has raised attention in various service domains, which
increased the concern about cyber-attacks. One of these most serious and frequent web …
increased the concern about cyber-attacks. One of these most serious and frequent web …
XSS adversarial example attacks based on deep reinforcement learning
L Chen, C Tang, J He, H Zhao, X Lan, T Li - Computers & Security, 2022 - Elsevier
Cross-site scripting (XSS) attack is one of the most serious security problems in web
applications. Although deep neural network (DNN) has been used in XSS attack detection …
applications. Although deep neural network (DNN) has been used in XSS attack detection …
Ssqli: A black-box adversarial attack method for sql injection based on reinforcement learning
Y Guan, J He, T Li, H Zhao, B Ma - Future Internet, 2023 - mdpi.com
SQL injection is a highly detrimental web attack technique that can result in significant data
leakage and compromise system integrity. To counteract the harm caused by such attacks …
leakage and compromise system integrity. To counteract the harm caused by such attacks …
[HTML][HTML] Machine and deep learning-based xss detection approaches: a systematic literature review
Web applications are paramount tools for facilitating services providing in the modern world.
Unfortunately, the tremendous growth in the web application usage has resulted in a rise in …
Unfortunately, the tremendous growth in the web application usage has resulted in a rise in …
GeneMiner: a classification approach for detection of XSS attacks on web services
According to OWASP 2021, cross‐site scripting (XSS) attacks are increasing through
specially crafted XML documents. The attacker injects a malicious payload with a new …
specially crafted XML documents. The attacker injects a malicious payload with a new …
Twenty-two years since revealing cross-site scripting attacks: a systematic mapping and a comprehensive survey
Cross-site scripting (XSS) is one of the major threats menacing the privacy of data and the
navigation of trusted web applications. Since its disclosure in late 1999 by Microsoft security …
navigation of trusted web applications. Since its disclosure in late 1999 by Microsoft security …
Audio adversarial detection through classification score on speech recognition systems
Deep neural networks (DNNs) provide effective performance for many computer vision
problems. However, DNNs are vulnerable to adversarial examples, generated by adding an …
problems. However, DNNs are vulnerable to adversarial examples, generated by adding an …
Input Validation Vulnerabilities in Web Applications: Systematic Review, Classification, and Analysis of the Current State-of-the-Art
FF Fadlalla, HT Elshoush - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, huge increase in attacks and data breaches is noticed. Most of the attacks
are performed and focused on the vulnerabilities related to web applications. Hence …
are performed and focused on the vulnerabilities related to web applications. Hence …