Olivier Festor
Biographic Data
| ID | 3560829 |
|---|---|
| NAME | Olivier Festor |
| GIVEN NAMES | Olivier |
| FAMILY NAME | Festor |
| SIGNATURE | FESTOR O |
| AFFILIATIONS | Centre Inria de l'Université de Lorraine |
| ORCID | 0000-0002-3181-7967 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 1 |
Comparing Pedophile Activity in Different P2P Systems
Peer-to-peer (P2P) systems are widely used to exchange content over the Internet. Knowledge of pedophile activity in such networks remains limited, despite having important social consequences. Moreover, though there are different P2P systems in use, previous academic works on this topic focused on one system at a time and their results are not directly comparable. We design a methodology for comparing KAD and eDonkey, two P2P systems among the m…
Comparing Pedophile Activity in Different P2P Systems
Peer-to-peer (P2P) systems are widely used to exchange content over the Internet. Knowledge of pedophile activity in such networks remains limited, despite having important social consequences. Moreover, though there are different P2P systems in use, previous academic works on this topic focused on one system at a time and their results are not directly comparable. We design a methodology for comparing KAD and eDonkey, two P2P systems among the m…
Comparing Pedophile Activity in Different P2P Systems
Peer-to-peer (P2P) systems are widely used to exchange content over the Internet. Knowledge of pedophile activity in such networks remains limited, despite having important social consequences. Moreover, though there are different P2P systems in use, previous academic works on this topic focused on one system at a time and their results are not directly comparable. We design a methodology for comparing KAD and eDonkey, two P2P systems among the m…
Anonymity (1 work) · Computer Science (1 work) · Computer security (1 work) · Internet Traffic Analysis and Secure E-voting (1 work) · Peer-to-Peer Network Technologies (1 work) · Scale (ratio (1 work) · Server (1 work) · Spam and Phishing Detection (1 work) · The Internet (1 work) · World Wide Web (1 work)