Audio Fingerprinting In Peer-to-peer Networks

Despite the immense potential of Peer-to-Peer (P2P) networks in facilitating collaborative applications, they have become largely known as a free haven for pirated music swapping. In this paper, we present an approach wherein the collective computational power of the P2P networks is exploited to combat the problem of unauthorized music file sharing. We propose a distributed system based on audio fingerprinting,that makes it possible to recognize the music content present in the network. When the contents are identified, the network can take special measures against the use or sharing of unauthorized music. This proposed system is self-adapting, and robust. The foregoing properties make the system particularly suitable for use in dynamic and heterogeneous environment of P2P networks. In order to investigate the behavior of the proposed system, a system-level model has been created using the Parallel Object Oriented Specification Language (POOSL). This model was used to investigate ...

• Type: Conference
• Year: 2004
• Where: ISMIR
• Authors: Prarthana Shrestha, Ton Kalker
• Keywords: ISMIR 2004, Music file Sharing, P2P Networks, Unauthorized Music