Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review

ZT Pritee, MH Anik, SB Alam, JR Jim, MM Kabir… - Computers & …, 2024 - Elsevier
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 …

Prompt engineering or fine-tuning? a case study on phishing detection with large language models

F Trad, A Chehab - Machine Learning and Knowledge Extraction, 2024 - mdpi.com
Large Language Models (LLMs) are resha** the landscape of Machine Learning (ML)
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

EA Aldakheel, M Zakariah, GA Gashgari, FA Almarshad… - Sensors, 2023 - mdpi.com
Organizations and individuals worldwide are becoming increasingly vulnerable to
cyberattacks as phishing continues to grow and the number of phishing websites grows. As …

Internet-based social engineering psychology, attacks, and defenses: A survey

TT Longtchi, RM Rodriguez, L Al-Shawaf… - Proceedings of the …, 2024 - ieeexplore.ieee.org
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 …

Enhancing phishing detection: A novel hybrid deep learning framework for cybercrime forensics

FS Alsubaei, AA Almazroi, N Ayub - IEEE Access, 2024 - ieeexplore.ieee.org
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 …

PhishingRTDS: A real-time detection system for phishing attacks using a Deep Learning model

S Asiri, Y **ao, S Alzahrani, T Li - Computers & Security, 2024 - Elsevier
In recent years, phishing attacks have become more intelligent and more challenging to
detect using typical phishing methods. Moreover, attackers have leveraged some web …

Multimodal large language models for phishing webpage detection and identification

J Lee, P Lim, B Hooi, DM Divakaran - arxiv preprint arxiv:2408.05941, 2024 - arxiv.org
To address the challenging problem of detecting phishing webpages, researchers have
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

Y Wang, W Ma, H Xu, Y Liu, P Yin - Applied Sciences, 2023 - mdpi.com
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 …

Walkthrough phishing detection techniques

T Singh, M Kumar, S Kumar - Computers and Electrical Engineering, 2024 - Elsevier
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 …

Detection of phishing URLs with deep learning based on GAN-CNN-LSTM network and swarm intelligence algorithms

AJS Albahadili, A Akbas, J Rahebi - Signal, Image and Video Processing, 2024 - Springer
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 …