An ensemble learning approach for XSS attack detection with domain knowledge and threat intelligence

Y Zhou, P Wang - Computers & Security, 2019 - Elsevier
… Traditional XSS detection methods mainly focus on the … In this paper, the XSS attack detection
method is proposed … network is built with both domain knowledge and threat intelligence. …

[HTML][HTML] Ontology for Cross-Site-Scripting (XSS) attack in cybersecurity

JR Dora, K Nemoga - Journal of Cybersecurity and Privacy, 2021 - mdpi.com
… of domain knowledge (Domain, in this perspective means the most general classes, the
knowledge … which is focused on XSS attacks in cybersecurity, and it can be used for detecting

A survey of detection methods for XSS attacks

U Sarmah, DK Bhattacharyya, JK Kalita - Journal of Network and Computer …, 2018 - Elsevier
… the malicious code in an innocent user's browser without the user's knowledge. With an … on
various XSS attack detection approaches proposed over the years. The detection approaches …

A study on XSS attacks: intelligent detection methods

VS Stency, N Mohanasundaram - Journal of Physics: Conference …, 2021 - iopscience.iop.org
… If the attacker has little knowledge about web development and scripting enables attackers
… users on the website is called a Cross-site Scripting Attack. XSS attacks have been a kind of …

Black-box adversarial attacks on XSS attack detection model

Q Wang, H Yang, G Wu, KKR Choo, Z Zhang… - Computers & …, 2022 - Elsevier
… integrated learning method of XSS attack detection with domain knowledge and threat
intelligence. Through this method, a set of Bayesian networks with domain knowledge and threat …

Few-shot graph classification on cross-site scripting attacks detection

H Pan, Y Fang, W Guo, Y Xu, C Wang - Computers & Security, 2024 - Elsevier
… to XSS attack detection and investigates the effectiveness of the method based on prototypical
networks for XSS attack detection in … Word2Vec is trained based on domain knowledge to …

A detailed survey on recent xss web-attacks machine learning detection techniques

J Kaur, U Garg - 2021 2nd Global conference for advancement …, 2021 - ieeexplore.ieee.org
… often requires indepth knowledge of the security domain. Furthermore, existing unsupervised
machine learning approach requires manual feature selection and also results in false …

Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review

J Kaur, U Garg, G Bathla - Artificial Intelligence Review, 2023 - Springer
… the XSS attack detection mechanisms, focusing on recent improvements in this field. Further,
XSS attack and detection are elaborated, which is the most dangerous attack executed by …

Xss attack detection model based on semi-supervised learning algorithm with weighted neighbor purity

X Li, W Ma, Z Zhou, C Xu - Ad-Hoc, Mobile, and Wireless Networks: 19th …, 2020 - Springer
… [28] also used an ensemble learning method which is based on Bayesian networks, but
they combined domain knowledge and threat intelligence with the traditional lexical features, …

Domain knowledge aided explainable artificial intelligence for intrusion detection and response

SR Islam, W Eberle, SK Ghafoor, A Siraj… - arXiv preprint arXiv …, 2019 - arxiv.org
… However, we also find that the use of domain knowledge for … mon updated attacks such as
DDoS, Brute Force, XSS, SQL … We also convert the domain knowledge infused features into …