| Title | Detection method of phishing email based on persuasion principle |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Li, Xue, Zhang, Dongmei, Wu, Bin |
| Conference Name | 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) |
| Date Published | jun |
| Keywords | Credit cards, Electronic mail, feature extraction, Human Behavior, machine learning, Market research, passwords, persuasion principle, phishing, phishing email detection, pubcrawl, security |
| Abstract | "Phishing emails" are phishing emails with illegal links that direct users to pages of some real websites that are spoofed, or pages where real HTML has been inserted with dangerous HTML code, so as to deceive users' private information such as bank or credit card account numbers, email account numbers, and passwords. People are the most vulnerable part of security. Phishing emails use human weaknesses to attack. This article describes the application of the principle of persuasion in phishing emails, and based on the existing methods, this paper proposes a phishing email detection method based on the persuasion principle. The principle of persuasion principle is to count whether the corresponding word of the feature appears in the mail. The feature is selected using an information gain algorithm, and finally 25 features are selected for detection. Finally experimentally verified, accuracy rate reached 99.6%. |
| DOI | 10.1109/ITNEC48623.2020.9084766 |
| Citation Key | li_detection_2020 |
Detection method of phishing email based on persuasion principle