Name
Abstract | ||
|---|---|---|
Spear phishing emails target to specific individual or organization, they are more elaborated, targeted, and harmful than phishing emails. The attackers usually harvest information about the recipient in any available ways, then create a carefully camouflaged email and lure the recipient to perform dangerous actions. In this paper we present a new effective approach to detect spear phishing emails... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CSCWD49262.2021.9437758 | 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD) |
Keywords | DocType | ISBN |
Interpolation,Machine learning algorithms,Phishing,Conferences,Machine learning,Companies,Feature extraction | Conference | 978-1-7281-6597-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiong Ding | 1 | 0 | 0.34 |
| Baoxu Liu | 2 | 10 | 5.62 |
| Zhengwei Jiang | 3 | 2 | 4.76 |
| Qiuyun Wang | 4 | 1 | 2.72 |
| Liling Xin | 5 | 0 | 0.34 |