Textual based retrieval system with bloom in unstructured Peer-to-Peer networks

摘要

P2P network is the best and popular network sharing of contents by the user through internet. Bloom Cast is an efficient technique used for full-text retrieval scheme in unstructured P2P networks. By using the fullest of a hybrid P2P protocol, Bloom Cast makes copies of the contents in the network uniformly at a random across the P2P networks in order to achieve a guaranteed recall at a communication cost of the network. Bloom Cast model works only when the two constraints are met: 1) the query replicas and document replicas are randomly and uniformly distributed across the P2P network; and 2) every peer knows N, the size of the network. To support random node sampling and network size estimation, Bloom Cast mixes a lightweight DHT into an unstructured P2P network. Further to reduce the replication cost, Bloom Cast utilizes Bloom Filters to encode the entire document. Bloom Cast hybridizes a lightweight DHT with an unstructured P2P overlay to support random node sampling and network size estimation. Since P2P networks are selfconfiguring networks with minimal or no central control, P2P networks are more vulnerable to malwares, malicious code, viruses, etc., than the traditional client-server networks, due to their lack of structure and unmanaged nature. All peers in a P2P network is identified by its identity certificates (aka identity). The identity here is attached to the repudiation of a given peer. Self-certification helps us to generate the identity certificate, thus here all the peers maintain their own and hence trusted certificate authority which issues the identity certificate to the peer.