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

J Kaur, U Garg, G Bathla - Artificial Intelligence Review, 2023 - Springer
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 …

Determining the efficacy of machine learning strategies in quelling cyber security threats: Evidence from selected literatures

CS Kodete, B Thuraka… - Asian Journal of …, 2024 - article.researchpromo.com
The alarming security threats in the internet world continually raise critical concerns among
individuals, organizations and governments alike. The sophistication of cyber-attacks makes …

[PDF][PDF] Cyber security techniques for detecting and preventing cross-site scripting attacks

O Okusi - World Journal of Innovation and Modern Technology, 2024 - researchgate.net
As the demand as well as use of web application increases daily so also different cyber
security threats to it increases alarmingly. Cross-Site Scripting (XSS) attack is one in which …

Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm

N Bacanin, V Simic, M Zivkovic, M Alrasheedi… - Annals of Operations …, 2023 - Springer
Computer resources provision over the internet resulted in the wide spread usage of cloud
computing paradigm. With the use of such resources come certain challenges that can …

Phishing Website URL's Detection Using NLP and Machine Learning Techniques

DS Kuraku, D Kalla - Journal on Artificial Intelligence-Tech Science, 2023 - papers.ssrn.com
Phishing websites present a severe cybersecurity risk since they can lead to financial
losses, data breaches, and user privacy violations. This study uses machine learning …

[HTML][HTML] Phish responder: A hybrid machine learning approach to detect phishing and spam emails

M Dewis, T Viana - Applied System Innovation, 2022 - mdpi.com
Using technology to prevent cyber-attacks has allowed organisations to somewhat automate
cyber security. Despite solutions to aid organisations, many are susceptible to phishing and …

[PDF][PDF] Deep learning in phishing mitigation: a uniform resource locator-based predictive model

H Salah, H Zuhair - International Journal of Electrical and Computer …, 2023 - academia.edu
To mitigate the evolution of phish websites, various phishing prediction8 schemes are being
optimized eventually. However, the optimized methods produce gratuitous performance …

[PDF][PDF] Machine learning and deep learning based phishing websites detection: The current gaps and next directions

K Adane, B Beyene - Review of Computer Engineering Research, 2022 - academia.edu
To compete with the rest of the world, every country is relying on the internet for cashless
transactions, online commerce, paperless tickets, and other productivity methods. Phishing …

URL based phishing attack detection using BiLSTM-gated highway attention block convolutional neural network

M Nanda, S Goel - Multimedia Tools and Applications, 2024 - Springer
Phishing is an attack that attempts to replicate the official websites of businesses, including
government agencies, financial institutions, e-commerce platforms, and banks. These …

[HTML][HTML] Evolutionary algorithm with deep auto encoder network based website phishing detection and classification

H Alqahtani, SS Alotaibi, FS Alrayes, I Al-Turaiki… - Applied Sciences, 2022 - mdpi.com
Website phishing is a cyberattack that targets online users for stealing their sensitive data
containing login credential and banking details. The phishing websites appear very similar …