A real world study on employees' susceptibility to phishing attacks
Author:
Affiliation:
1. University of Verona
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3407023.3409179
Reference39 articles.
1. Classification of Phishing Email Using Random Forest Machine Learning Technique
2. Ram B. Basnet Andrew H. Sung and Quingzhong Liu. 2012. Feature Selection for Improved Phishing Detection. In Advanced Research in Applied Artificial Intelligence He Jiang Wei Ding Moonis Ali and Xindong Wu (Eds.). 252--261. Ram B. Basnet Andrew H. Sung and Quingzhong Liu. 2012. Feature Selection for Improved Phishing Detection. In Advanced Research in Applied Artificial Intelligence He Jiang Wei Ding Moonis Ali and Xindong Wu (Eds.). 252--261.
3. Unpacking Spear Phishing Susceptibility
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