Comparing Pedophile Activity in Different P2P Systems
Bibliographic Data
| ID | 5935429 |
|---|---|
| Authors | Raphaël Fournier (Université Sorbonne Paris Nord, corresponding author), Thibault Cholez (0000-0002-0435-3909, Centre Inria de l'Université de Lorraine), Matthieu Latapy (0000-0002-0975-6109, Centre National de la Recherche Scientifique), Isabelle Chrisment (Centre Inria de l'Université de Lorraine), Clémence Magnien (0000-0003-0320-4378, Centre National de la Recherche Scientifique), Olivier Festor (0000-0002-3181-7967, Centre Inria de l'Université de Lorraine), Ivan Daniloff (Centre National de la Recherche Scientifique) |
| Year | 2014 |
| Volume | 3 |
| Issue | 3 |
| Pages | 314-325 |
| Publication date | 2014-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2076-0760 • E-ISSN: 2076-0760 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/socsci3030314 |
| OpenAlex | W2002339528 |
| Language | EN |
| Citations received | 1 |
| References cited | 10 |
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 most prominent ones and with different anonymity levels. We monitor two eDonkey servers and the KAD network during several days and record hundreds of thousands of keyword-based queries. We detect pedophile-related queries with a previously validated tool and we propose, for the first time, a large-scale comparison of pedophile activity in two different P2P systems. We conclude that there are significantly fewer pedophile queries in KAD than in eDonkey (approximately 0.09% vs. 0.25
Anonymity · Computer security · Scale (ratio · Server · The Internet · World Wide Web · Computer Science · Internet Traffic Analysis and Secure E-voting · Peer-to-Peer Network Technologies · Spam and Phishing Detection
| Citations per year | 0.11 |
|---|---|
| Citation span | 2017 - 2017 (1) |
| Highly cited | No |