Name
Abstract | ||
|---|---|---|
The growing popularity of Blockchain networks attracts also malicious and hacking users. Effectively detecting inappropriate and malicious activity should thus be a top priority for safeguarding blockchain networks and services. Blockchain behavior analysis can be used to detect unusual account activities or time periods with network-wide irregular properties. Thus, optimized anomaly detection bas... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/Blockchain53845.2021.00013 | 2021 IEEE International Conference on Blockchain (Blockchain) |
Keywords | DocType | ISBN |
Time-frequency analysis,Conferences,Data structures,Blockchains,History,Task analysis,Detection algorithms | Conference | 978-1-6654-1760-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomer Voronov | 1 | 0 | 0.34 |
| Danny Raz | 2 | 0 | 0.68 |
| Ori Rottenstreich | 3 | 9 | 7.31 |