An architecture for a secure service discovery service
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
The design and implementation of an intentional naming system
Proceedings of the seventeenth ACM symposium on Operating systems principles
Space/time trade-offs in hash coding with allowable errors
Communications of the ACM
Keying Hash Functions for Message Authentication
CRYPTO '96 Proceedings of the 16th Annual International Cryptology Conference on Advances in Cryptology
INS/Twine: A Scalable Peer-to-Peer Architecture for Intentional Resource Discovery
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
The Resurrecting Duckling: Security Issues for Ad-hoc Wireless Networks
Proceedings of the 7th International Workshop on Security Protocols
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Service Discovery in Pervasive Computing Environments
IEEE Pervasive Computing
A Private, Secure, and User-Centric Information Exposure Model for Service Discovery Protocols
IEEE Transactions on Mobile Computing
Private and Secure Service Discovery via Progressive and Probabilistic Exposure
IEEE Transactions on Parallel and Distributed Systems
Security Engineering: A Guide to Building Dependable Distributed Systems
Security Engineering: A Guide to Building Dependable Distributed Systems
Home networking with Universal Plug and Play
IEEE Communications Magazine
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With the convergence of embedded computers and wireless communication, pervasive computing has become the inevitable future of computing. Every year, billions of computing devices are built. They are ubiquitously deployed and are gracefully integrated with people and their environments. Service discovery is an essential step for the devices to properly discover, configure, and communicate with each other. Authentication for pervasive service discovery is difficult. In this chapter, we introduce a user-centric service discovery model, called PrudentExposure, which automates authentication processes. It encodes hundreds of authentication messages in a novel code word form. Perhaps the most serious challenge for pervasive service discovery is the integration of computing devices with people. A critical privacy challenge can be expressed as a "chicken-andegg problem": both users and service providers want the other parties to expose sensitive information first. We discuss how a progressive and probabilistic model can protect both users' and service providers' privacy.