FakeDetector: A measurement-based tool to get rid out of fake content in your BitTorrent Downloads
Michal Kryczka, Research Assistant, Institute IMDEA Networks
Fake content represents an important portion of those ﬁles shared in BitTorrent. In this paper we conduct a large scale measurement study in order to analyse the fake content publishing phenomenon in the BitTorrent Ecosystem. Our results reveal that a few tens of users are responsible for 90% of the fake content. Furthermore, more than 99% of the analysed fake ﬁles are linked to either malware or scam websites. This creates a serious thread for the BitTorrent ecosystem. To address this issue, we present a new detection tool named FakeDetector that may prevent the download of almost 10 millions of fake ﬁles per year based on our evaluation. This could help to reduce the number of computer infections and scams suffered by BitTorrent users.
The conference will be conducted in English
- Location: Aula 4. 1F03, Departamento de Telemática, Edificio Torres Quevedo, Universidad Carlos III de Madrid, Avda. Universidad, 30, 28911 Leganes – Madrid
- Organization: NETCOM Research Group (Telematics Engineering Department, UC3M); IMDEA Networks Institute
- Time: 01:00 pm