The Psychological Manipulation of Phishing Emails: A Cognitive Bias Approach

Cognitive biases are commonly used by attackers to manipulate users’ psychology in phishing emails. This study systematically analyzes the exploitation of cognitive biases in phishing emails and addresses the following questions: (1) Which cognitive biases are frequently exploited in phishing emails? (2) How are cognitive biases exploited in phishing emails? (3) How effective are cognitive bias features in detecting phishing emails? (4) How can the exploitation of cognitive biases in phishing emails be modelled? To address these questions, this study constructed a cognitive processing model that explains how attackers manipulate users by leveraging cognitive biases at different cognitive stages. By annotating 482 phishing emails, this study identified 10 common types of cognitive biases and developed corresponding detection models to evaluate the effectiveness of these bias features in phishing email detection. The results show that models incorporating cognitive bias features significantly outperform baseline models in terms of accuracy, recall, and F1 score. This study provides crucial theoretical support for future anti-phishing methods, as a deeper understanding of cognitive biases offers key insights for designing more effective detection and prevention strategies.

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.065059
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Psychological Manipulation of Phishing Emails: A Cognitive Bias Approach

Chunhua Wu, Yiyu Yao, Jiafu Wang, Bin Wu et al.
Computers, materials & continua/Computers, materials & continua (Print)
Misinformation and Its Impacts
article

The Psychological Manipulation of Phishing Emails: A Cognitive Bias Approach

Chunhua Wu, Yiyu Yao, Jiafu Wang, Bin Wu, Kangfeng Zheng, Jiaqi Gao, Minjiao Yang
article en

Abstract

Cognitive biases are commonly used by attackers to manipulate users’ psychology in phishing emails. This study systematically analyzes the exploitation of cognitive biases in phishing emails and addresses the following questions: (1) Which cognitive biases are frequently exploited in phishing emails? (2) How are cognitive biases exploited in phishing emails? (3) How effective are cognitive bias features in detecting phishing emails? (4) How can the exploitation of cognitive biases in phishing emails be modelled? To address these questions, this study constructed a cognitive processing model that explains how attackers manipulate users by leveraging cognitive biases at different cognitive stages. By annotating 482 phishing emails, this study identified 10 common types of cognitive biases and developed corresponding detection models to evaluate the effectiveness of these bias features in phishing email detection. The results show that models incorporating cognitive bias features significantly outperform baseline models in terms of accuracy, recall, and F1 score. This study provides crucial theoretical support for future anti-phishing methods, as a deeper understanding of cognitive biases offers key insights for designing more effective detection and prevention strategies.

Computers, materials & continua/Computers, materials & continua (Print)Vol. 85(3)
Openalex Percentile: Top 65%
Misinformation and Its Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.