Detection of malicious URLs using Temporal Convolutional Network and Multi-Head Self-Attention mechanism

NQ Do, A Selamat, O Krejcar, H Fujita - Applied Soft Computing, 2025 - Elsevier
Abstract Natural Language Processing (NLP) and Deep Learning (DL) have achieved
remarkable results in various fields and have also been proven to be effective in detecting …

Phishing attack types and mitigation: A survey

MF Alghenaim, NAA Bakar, F Abdul Rahim… - … Conference on Data …, 2022 - Springer
The proliferation of the internet and computing devices has drawn much attention during the
Covid-19 pandemic stay home and work, and this has led the organization to adapt to …

Artificial intelligence techniques in cybersecurity management

ME Dapel, M Asante, CD Uba, MO Agyeman - Cybersecurity in the Age of …, 2023 - Springer
The rapid development in internet services led to a significant increase in cyberattacks. The
need to secure systems and operations has become apparent as cybersecurity has become …

Enhancing Web Security: A Comparative Analysis of Machine Learning Models for CSRF Detection

M Ramadan, B Osama, M Zaher… - 2024 Intelligent …, 2024 - ieeexplore.ieee.org
This paper investigates the application of utilizing machine learning techniques to enhance
Cross-Site Request Forgery (CSRF) detection in web applications. CSRF remains a critical …

A Detailed Study on Preventing the Malicious URLs from Cyber Attacks

S Adnaan, G Tejasri, AVP Krishna… - … and Smart Energy …, 2023 - ieeexplore.ieee.org
Today, there are more malicious URLs and cyber-attacks than ever. Cybercrimes are
developing along with the software system's progress. If we are able to stop one attack, then …

Detection of Malicious URL Websites using Machine Learning Models

KN Reddy, KN Venkatesh… - 2023 4th International …, 2023 - ieeexplore.ieee.org
In recent years, web applications have become increasingly vulnerable to hacking, with an
estimated occurrence of 32,590 attacks every day. However, many web developers and …

A Novel Model Based on Ensemble Learning for Phishing Attack

A Karakaya, A Ulu - Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2024 - dergipark.org.tr
With the increase in the speed of the internet environment and the development of the
infrastructures used, people have started to perform most of their work online. As much as …

A Survey on Phishing Website Detection Using Deep Neural Networks

V Sharma, T Halevi - International Conference on Human-Computer …, 2022 - Springer
Phishing is a social engineering attack, where an attacker poses as a legitimate individual or
institution and convinces a victim to divulge their details through human interaction. There …

Code injection prevention in content management systems using machine learning

C Kavithamani, RSS Subramanian… - … Vision and Bio-Inspired …, 2022 - Springer
Web content management system is a software content management system (CMS)
specifically designed for hosting web applications. They make it easier to author …

Comprehensive review of machine learning models for sql injection detection in e-commerce

AA Mustapha, AS Udeh, TA Ashi… - World Journal of …, 2024 - wjarr.co.in
With the steady expansion of online commerce, e-commerce sites have become
increasingly attractive targets for hackers. These sites serve millions of customers and often …