Abstract | ||
---|---|---|
There is a significant increase of cloud and networking-enabled applications, leading to an exponential growth of network traffic. Monitoring all these applications and their generated traffic is a challenging and complex task, especially in regard to anonymous networks used to access the Dark Web or darknet. Manual investigation of the network traffic to determine patterns of malicious activity i... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/ECAI52376.2021.9515039 | 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) |
Keywords | DocType | ISBN |
Measurement,Machine learning algorithms,Telecommunication traffic,Manuals,Classification algorithms,Virtual private networks,Decision trees | Conference | 978-1-6654-2534-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nilesh Jadav | 1 | 0 | 0.34 |
Nitul Dutta | 2 | 0 | 0.34 |
Hiren Kumar Deva Sarma | 3 | 0 | 0.34 |
Emil Pricop | 4 | 0 | 0.68 |
Supeep Tanwar | 5 | 0 | 0.34 |