Managing trust in a peer-2-peer information system
Proceedings of the tenth international conference on Information and knowledge management
Looking up data in P2P systems
Communications of the ACM
IEEE/ACM Transactions on Networking (TON)
Sketch-based change detection: methods, evaluation, and applications
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Querying the internet with PIER
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
PRIMED: community-of-interest-based DDoS mitigation
Proceedings of the 2006 SIGCOMM workshop on Large-scale attack defense
Building Reputations for Internet Clients
Electronic Notes in Theoretical Computer Science (ENTCS)
Comindis: collaborative monitoring with minimum disclosure
TMA'11 Proceedings of the Third international conference on Traffic monitoring and analysis
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We present an architecture for large-scale sharing of past behavioral patterns about network actors (e.g., hosts or email addresses) in an effort to inform policy decisions about how to treat future interactions. In our system, entities can submit reports of certain observed behavior (particularly attacks) to a distributed database. When deciding whether to provide services to a given actor, users can then consult the database to obtain a global history of the actor's past activity. Three key elements of our system are: (i) we do not require a hard-and-fast notion of identity, (ii) we presume that users make local decisions regarding the reputations developed by the contributors to the system as the basis of the trust to place in the information, (iii) we envision enabling witnesses to attest that certain activity was observed without requiring the witness to agree as to the behavioral meaning of the activity. We sketch an architecture for such a system that we believe the community could benefit from and collectively build.