OceanStore: an architecture for global-scale persistent storage
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Protecting Free Expression Online with Freenet
IEEE Internet Computing
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Limited reputation sharing in P2P systems
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Extending Relational Database Systems to Automatically Enforce Privacy Policies
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Limiting disclosure in hippocratic databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Design of PriServ, a privacy service for DHTs
PAIS '08 Proceedings of the 2008 international workshop on Privacy and anonymity in information society
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
User-centric privacy preservation in data-sharing applications
NPC'10 Proceedings of the 2010 IFIP international conference on Network and parallel computing
| Hi-index | 0.00 |
P2P systems are increasingly used for efficient, scalable data sharing. Popular applications focus on massive file sharing. However, advanced applications such as online communities (e.g., medical or research communities) need to share private or sensitive data. Currently, in P2P systems, untrusted peers can easily violate data privacy by using data for malicious purposes (e.g., fraudulence, profiling). To prevent such behavior, the well accepted Hippocratic database principle states that data owners should specify the purpose for which their data will be collected. In this paper, we apply such principles as well as reputation techniques to support purpose and trust in structured P2P systems. Hippocratic databases enforce purpose-based privacy while reputation techniques guarantee trust. We propose a P2P data privacy model which combines the Hippocratic principles and the trust notions. We also present the algorithms of PriServ, a DHT-based P2P privacy service which supports this model and prevents data privacy violation. We show, in a performance evaluation, that PriServ introduces a small overhead.