Abstract | ||
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Rules have been specified for identifying first seeders in the Foxy peer-to-peer (P2P) network. However, these rules have not been validated due to difficulties in repeating download scenarios. This paper describes a rule validation scheme that uses a network simulation environment. The Type I and Type II error rates of Foxy network monitoring rules over 100 simulation experiments covering ten scenarios are measured and analyzed. The error rates reflect the limitations of the monitoring rules and demonstrate the importance of using network simulations for rule validation. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1007/978-3-642-33962-2_16 | ADVANCES IN DIGITAL FORENSICS VIII |
Keywords | Field | DocType |
Peer-to-peer networks,Foxy,first seeder,network simulation | Data mining,Peer-to-peer,Computer science,Network simulation,Download,Type I and type II errors,Network monitoring | Conference |
Volume | ISSN | Citations |
383 | 1868-4238 | 1 |
PageRank | References | Authors |
0.63 | 3 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ricci S. C. Ieong | 1 | 58 | 6.84 |
Kam-Pui Chow | 2 | 283 | 39.82 |
Pierre K. Y. Lai | 3 | 75 | 10.54 |