Detection of malicious URLs using Temporal Convolutional Network and Multi-Head Self-Attention mechanism
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 …
remarkable results in various fields and have also been proven to be effective in detecting …
Phishing attack types and mitigation: A survey
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 …
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
increasingly attractive targets for hackers. These sites serve millions of customers and often …