Phishing or not phishing? A survey on the detection of phishing websites
Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …
brands. Although this threat has been around for quite a long time, it is still very active and …
Analysis of the performance impact of fine-tuned machine learning model for phishing URL detection
SR Abdul Samad, S Balasubaramanian, AS Al-Kaabi… - Electronics, 2023 - mdpi.com
Phishing leverages people's tendency to share personal information online. Phishing
attacks often begin with an email and can be used for a variety of purposes. The …
attacks often begin with an email and can be used for a variety of purposes. The …
A review of feature set partitioning methods for multi-view ensemble learning
A Kumar, J Yadav - Information Fusion, 2023 - Elsevier
Since the present era is entirely computer and Internet of Things (IoT) oriented, enormous
amounts of data are produced quickly from many sources. Machine learning's primary …
amounts of data are produced quickly from many sources. Machine learning's primary …
Helphed: Hybrid ensemble learning phishing email detection
Phishing email attack is a dominant cyber-criminal strategy for decades. Despite its
longevity, it has evolved during the COVID-19 pandemic, indicating that adversaries exploit …
longevity, it has evolved during the COVID-19 pandemic, indicating that adversaries exploit …
[HTML][HTML] A hybrid approach for alluring ads phishing attack detection using machine learning
Phishing attacks are evolving with more sophisticated techniques, posing significant threats.
Considering the potential of machine-learning-based approaches, our research presents a …
Considering the potential of machine-learning-based approaches, our research presents a …
Multilayer stacked ensemble learning model to detect phishing websites
Phishing is a cyber attack that tricks the online users into revealing sensitive information with
a fake website imitating a legitimate website. The attackers with stolen credentials not only …
a fake website imitating a legitimate website. The attackers with stolen credentials not only …
SoK: The impact of unlabelled data in cyberthreat detection
Machine learning (ML) has become an important paradigm for cyberthreat detection (CTD)
in the recent years. A substantial research effort has been invested in the development of …
in the recent years. A substantial research effort has been invested in the development of …
A comprehensive survey of automated website phishing detection techniques: A perspective of artificial intelligence and human behaviors
Phishing is a web-based attack that applies social engineering techniques to take
advantage of Internet users and obtain sensitive information. Mostly, the phishing attack …
advantage of Internet users and obtain sensitive information. Mostly, the phishing attack …
[HTML][HTML] CCrFS: combine correlation features selection for detecting phishing websites using machine learning
Internet users are continually exposed to phishing as cybercrime in the 21st century. The
objective of phishing is to obtain sensitive information by deceiving a target and using the …
objective of phishing is to obtain sensitive information by deceiving a target and using the …
[HTML][HTML] An application for predicting phishing attacks: A case of implementing a support vector machine learning model
The imminent threat that phishing websites poses is a major concern for internet users
worldwide. These fraudulent websites are crafted by cyber attackers to appear trustworthy …
worldwide. These fraudulent websites are crafted by cyber attackers to appear trustworthy …