Research graph
References from A Lightweight Feature Engineering Approach for Efficient and Accurate XSS Attack Classification. Local targets link to admitted publications; unresolved targets remain external evidence.
Security testing of web applications: A systematic mapping of the literature
10.1016/j.jksuci.2021.09.018 · 2022 · External reference
10.1109/clei53233.2021.9640192
10.1109/clei53233.2021.9640192 · External reference
Distributed denial-of-service (ddos) attacks and defense mechanisms in various web-enabled computing platforms: Issues, challenges, and future research directions
10.4018/ijswis.297143 · 2022 · External reference
10.1007/978-981-13-9155-2_5
10.1007/978-981-13-9155-2_5 · External reference
Web phishing detection using web crawling, cloud infrastructure and deep learning framework
10.38094/jastt401144 · 2023 · External reference
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10.1109/conisoft58849.2023.00020
10.1109/conisoft58849.2023.00020 · External reference
10.1109/icrito.2017.8342469
10.1109/icrito.2017.8342469 · External reference
10.1109/iccit.2008.338
10.1109/iccit.2008.338 · External reference
Cross site scripting: Detection approaches in web application
2016 · External reference
10.1109/emes65692.2025.11045588
10.1109/emes65692.2025.11045588 · External reference
Swift detection of xss attacks: Enhancing xss attack detection by leveraging hybrid semantic embeddings and ai techniques
10.1007/s13369-024-09140-0 · 2025 · External reference
10.3390/app15168924
10.3390/app15168924 · External reference
A survey of exploitation and detection methods of xss vulnerabilities
10.1109/access.2019.2960449 · 2019 · External reference
Machine and deep learning-based xss detection approaches: A systematic literature review
10.1016/j.jksuci.2023.101628 · 2023 · External reference
Sqli ve xss saldırı tespitinde kullanılan yeni bir özellik çıkarma yöntemi
2022 · External reference
10.1109/conit59222.2023.10205698
10.1109/conit59222.2023.10205698 · External reference
10.1109/icoco59262.2023.10397619
10.1109/icoco59262.2023.10397619 · External reference
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10.1109/iccws48432.2020.9292393
10.1109/iccws48432.2020.9292393 · External reference
Enhancing big data security through integrating xss scanner into fog nodes for smes gain
10.1016/j.techfore.2021.120754 · 2021 · External reference
10.1109/ic2e357697.2023.10262414
10.1109/ic2e357697.2023.10262414 · External reference
10.1109/iementech51367.2020.9270052
10.1109/iementech51367.2020.9270052 · External reference
10.1109/icces51350.2021.9489177
10.1109/icces51350.2021.9489177 · External reference
Malicious xss code detection with decision tree
10.2339/politeknik.470332 · 2020 · External reference
Xss attack detection with n-gram based prediction model
10.53608/estudambilisim.1233344 · 2023 · External reference
10.3390/electronics14061174
10.3390/electronics14061174 · External reference
10.1109/icac60630.2023.10417658
10.1109/icac60630.2023.10417658 · External reference
10.1109/icaia57370.2023.10169255
10.1109/icaia57370.2023.10169255 · External reference
10.1109/eecsi63442.2024.10776461
10.1109/eecsi63442.2024.10776461 · External reference
10.1109/icccnt61001.2024.10725091
10.1109/icccnt61001.2024.10725091 · External reference
10.1109/ispds62779.2024.10667632
10.1109/ispds62779.2024.10667632 · External reference
10.1109/csnet59123.2023.10339758
10.1109/csnet59123.2023.10339758 · External reference
Caxf-lccde: An enhanced feature extraction and ensemble learning model for xss detection
10.1109/access.2025.3598858 · 2025 · External reference
Xsshield: A novel dataset and lightweight hybrid deep learning model for xss attack detection
10.1016/j.rineng.2024.103363 · 2024 · External reference
Uniembed: A novel approach to detect xss and sql injection attacks leveraging multiple feature fusion with machine learning techniques
10.1007/s13369-024-09916-4 · 2025 · External reference
10.3390/fi16120482
10.3390/fi16120482 · External reference
Detection and defending the xss attack using novel hybrid stacking ensemble learning-based dnn approach
10.1016/j.dcan.2022.09.024 · 2024 · External reference
10.3390/info16020097
10.3390/info16020097 · External reference
Comparative analysis of machine learning algorithms for cross-site scripting (xss) attack detection
2024 · External reference
Hybrid deep learning framework via early feature fusion for xss attacks detection
2025 · External reference
An effective and stealthy xss adversarial sample generation method against deep learning detection models
10.1016/j.neucom.2026.133045 · 2026 · External reference
Mega: Machine learning-enhanced graph analytics for infodemic risk management
10.1109/jbhi.2023.3314632 · 2023 · External reference
Gaining insight into sars-cov-2 infection and covid-19 severity using self-supervised edge features and graph neural networks
2021 · External reference
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Scikit-learn: Machine learning in python
2011 · External reference
10.1017/cbo9780511809071
10.1017/cbo9780511809071 · External reference
A brief survey of text mining
10.21248/jlcl.20.2005.68 · 2005 · External reference
10.1109/icaict.2011.6111017
10.1109/icaict.2011.6111017 · External reference
Influence of pre-processing strategies on the performance of ml classifiers exploiting tf-idf and bow features
2020 · External reference
10.1109/iec47844.2019.8950616
10.1109/iec47844.2019.8950616 · External reference
10.1109/itnec.2016.7560393
10.1109/itnec.2016.7560393 · External reference
A survey on feature selection methods
10.1016/j.compeleceng.2013.11.024 · 2014 · External reference
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10.1109/isb.2012.6314141
10.1109/isb.2012.6314141 · External reference
10.1109/iccsee.2012.97
10.1109/iccsee.2012.97 · External reference
Information gain-based semi-supervised feature selection for hybrid data
10.1007/s10489-022-03770-3 · 2023 · External reference
Comparative study of attribute selection using gain ratio and correlation based feature selection
2010 · External reference
Feature selection approach for intrusion detection system
2013 · External reference
Inference for the generalization error
10.1023/a:1024068626366 · 2003 · External reference
Mlpxss: An integrated xss-based attack detection scheme in web applications using multilayer perceptron technique
10.1109/access.2019.2927417 · 2019 · External reference
Xgbxss: An extreme gradient boosting detection framework for cross-site scripting attacks based on hybrid feature selection approach and parameters optimization
2021 · External reference
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An efficient artificial intelligence approach for early detection of cross-site scripting attacks
10.1016/j.dajour.2024.100466 · 2024 · External reference
Xss-net: An intelligent machine learning model for detecting cross-site scripting (xss) attack in web application
10.11648/j.mlr.20251001.12 · 2025 · External reference
