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Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review
In the continuously develo** field of cyber security, user authentication and authorization
play a vital role in protecting personal information and digital assets from unauthorized use …
play a vital role in protecting personal information and digital assets from unauthorized use …
Prompt engineering or fine-tuning? a case study on phishing detection with large language models
Large Language Models (LLMs) are resha** the landscape of Machine Learning (ML)
application development. The emergence of versatile LLMs capable of undertaking a wide …
application development. The emergence of versatile LLMs capable of undertaking a wide …
[HTML][HTML] A deep learning-based innovative technique for phishing detection in modern security with uniform resource locators
Organizations and individuals worldwide are becoming increasingly vulnerable to
cyberattacks as phishing continues to grow and the number of phishing websites grows. As …
cyberattacks as phishing continues to grow and the number of phishing websites grows. As …
Internet-based social engineering psychology, attacks, and defenses: A survey
Internet-based social engineering (SE) attacks are a major cyber threat. These attacks often
serve as the first step in a sophisticated sequence of attacks that target, among other things …
serve as the first step in a sophisticated sequence of attacks that target, among other things …
Enhancing phishing detection: A novel hybrid deep learning framework for cybercrime forensics
Protecting against interference is essential at a time when wireless communications are
essential for sending large amounts of data. Our research presents a novel deep learning …
essential for sending large amounts of data. Our research presents a novel deep learning …
PhishingRTDS: A real-time detection system for phishing attacks using a Deep Learning model
In recent years, phishing attacks have become more intelligent and more challenging to
detect using typical phishing methods. Moreover, attackers have leveraged some web …
detect using typical phishing methods. Moreover, attackers have leveraged some web …
Multimodal large language models for phishing webpage detection and identification
To address the challenging problem of detecting phishing webpages, researchers have
developed numerous solutions, in particular those based on machine learning (ML) …
developed numerous solutions, in particular those based on machine learning (ML) …
A lightweight multi-view learning approach for phishing attack detection using transformer with mixture of experts
Phishing poses a significant threat to the financial and privacy security of internet users and
often serves as the starting point for cyberattacks. Many machine-learning-based methods …
often serves as the starting point for cyberattacks. Many machine-learning-based methods …
Walkthrough phishing detection techniques
Phishing has emerged as a significant cyber threat, resulting in huge financial frauds for
internet users annually. This malicious activity uses social engineering and upgraded …
internet users annually. This malicious activity uses social engineering and upgraded …
Detection of phishing URLs with deep learning based on GAN-CNN-LSTM network and swarm intelligence algorithms
Phishing attacks are one of the challenges of the Internet and its users. Phishing attacks are
an example of social engineering attacks based on deceiving users. In phishing attacks …
an example of social engineering attacks based on deceiving users. In phishing attacks …