[HTML][HTML] A Multi-vocal Literature Review on challenges and critical success factors of phishing education, training and awareness

O Sarker, A Jayatilaka, S Haggag, C Liu… - Journal of Systems and …, 2024 - Elsevier
Background: Phishing is a malicious attempt by cyber attackers to steal personal information
through deception. Phishing attacks are often aided by carefully crafted phishing emails …

Anti-phishing: A comprehensive perspective

G Varshney, R Kumawat, V Varadharajan… - Expert Systems with …, 2024 - Elsevier
Phishing is a form of deception technique that attackers often use to acquire sensitive
information related to individuals and organizations fraudulently. Although Phishing attacks …

[HTML][HTML] Investigation of phishing susceptibility with explainable artificial intelligence

Z Fan, W Li, KB Laskey, KC Chang - Future Internet, 2024 - mdpi.com
Phishing attacks represent a significant and growing threat in the digital world, affecting
individuals and organizations globally. Understanding the various factors that influence …

Phishing webpage detection based on global and local visual similarity

M Wang, L Song, L Li, Y Zhu, J Li - Expert Systems with Applications, 2024 - Elsevier
In recent years, phishing websites have constantly evolved, causing traditional URL or
HTML-based detection methods less effective. This limitation motivated the development of …

HCNN-LSTM: Hybrid Convolutional Neural Network with Long Short-Term Memory Integrated for Legitimate Web Prediction

C Zonyfar, JB Lee, JD Kim - Journal of Web Engineering, 2023 - ieeexplore.ieee.org
Phishing techniques are the most frequently used threat by attackers to deceive Internet
users and obtain sensitive victim information, such as login credentials and credit card …

[HTML][HTML] A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA)

MA Elberri, Ü Tokeşer, J Rahebi… - International Journal of …, 2024 - Springer
Phishing attacks pose a significant threat to online security, utilizing fake websites to steal
sensitive user information. Deep learning techniques, particularly convolutional neural …

Enhancing IOT security: Proactive phishing website detection using Deep Neural Networks case study: smart home

H Bouijij, A Berqia - Journal of Telecommunications and the …, 2024 - search.informit.org
The Internet of Things (IoT) has proven its utility across various domains, including
healthcare, agriculture, industry, and finance. It comprises Internet-connected devices that …

[HTML][HTML] Multi-Modal Clustering Discovery Method for Illegal Websites Based on Network Surveying and Mapping Big Data

B Wang, F Shi, H Zheng - Applied Sciences, 2023 - mdpi.com
With the development of internet technology, the number of illicit websites such as gambling
and pornography has dramatically increased, posing serious threats to people's physical …

[PDF][PDF] Sentence Level Analysis Model for Phishing Detection Using KNN

L Sawe, J Gikandi, J Kamau… - Journal of Cybersecurity …, 2024 - researchgate.net
Phishing emails have experienced a rapid surge in cyber threats globally, especially
following the emergence of the COVID-19 pandemic. This form of attack has led to …

A Review of Data-Driven Approaches for Malicious Website Detection

Z Hu, Z Yuan - 2023 7th Asian Conference on Artificial …, 2023 - ieeexplore.ieee.org
The detection of malicious websites has become a critical issue in cybersecurity. Therefore,
this paper offers a comprehensive review of data-driven methods for detecting malicious …