Name
Title | ||
|---|---|---|
Exploring the Evolution of Exploit-Sharing Hackers: An Unsupervised Graph Embedding Approach |
Abstract | ||
|---|---|---|
Cybercrime was estimated to cost the global economy $945 billion in 2020. Increasingly, law enforcement agencies are using social network analysis (SNA) to identify key hackers from Dark Web hacker forums for targeted investigations. However, past approaches have primarily focused on analyzing key hackers at a single point in time and use a hacker’s structural features only. In this study, we prop... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISI53945.2021.9624846 | 2021 IEEE International Conference on Intelligence and Security Informatics (ISI) |
Keywords | DocType | ISBN |
Hacker forums,social network analysis,unsupervised graph embedding,hacker evolution | Conference | 978-1-6654-3838-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaeli Otto | 1 | 0 | 0.34 |
| Benjamin Ampel | 2 | 0 | 0.68 |
| Sagar Samtani | 3 | 0 | 0.34 |
| Hongyi Zhu | 4 | 0 | 0.34 |
| Hsinchun Chen | 5 | 9569 | 813.33 |