An Incentive Mechanism for Reporting Phishing E-Mails Based on the Tripartite Evolutionary Game Model

Author:

Wang Mengli1ORCID,Song Lipeng2ORCID

Affiliation:

1. Data Science and Technology, North University of China, Taiyuan 030051, China

2. School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai 264209, China

Abstract

The human is considered as the important link in the phishing attack, and the e-mail security provider encourages users to report suspicious e-mails. However, evidence suggests that reporting is scarce. Therefore, we study how to motivate users to report phishing e-mails in this paper. To solve the problem, a tripartite evolutionary game model among e-mail security providers, e-mail users, and attackers is constructed. We obtain the desired evolutionary stable strategy through solving the replicator dynamics equations. Moreover, the evolution process to the desired evolutionary stable strategy is derived, which can guide the e-mail security provider to make a reasonable incentive mechanism. Lastly, we experiment with a large real-world e-mail network. The experiment results show that our model is effective and practical.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Reference24 articles.

1. Applicability of machine learning in spam and phishing email filtering: review and approaches

2. Detecting and characterizing lateral phishing at scale;G. Ho

3. Internet crime report. 2021;Federal Bureau of Investigation,2020

4. Phishing Detection: A Literature Survey

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