Title
PrudentExposure: a private and user-centric service discovery protocol
Abstract
Service discovery as an essential element in pervasive computing environments is widely accepted. Much active research on service discovery has been conducted, but privacy has been ignored and may be sacrificed. While it is essential that legitimate users should be able to discover services of which they have credentials, it is also necessary that services be hidden from illegitimate users. Since service information, service provider's information, service requests, and credentials to access services via service discovery protocols may be sensitive, we may want to keep them private. Existing service discovery protocols do not solve these problems. We present a user-centric model, called Prudentexposure, as the first approach designed for exposing minimal information privately, securely, and automatically for both service providers and users of service discovery protocols. We analyze the mathematical properties of our model and formally verify our security protocol.
Year
DOI
Venue
2004
10.1109/PERCOM.2004.1276870
PerCom
Keywords
Field
DocType
minimal information exposure,access credentials,security protocol,data privacy,private service discovery protocol,users ofservice discovery protocol,existing service discovery protocol,service provider information,service discovery,pervasive computing,service discoveryprotocols,user-centric model,user centred design,user-centric service discovery protocol,service request,essential elementin pervasive computing,ubiquitous computing,service provider,service users,service information,service providers,prudentexposure,minimal information,service requests,formal verification,privacy,bluetooth,information security,mathematical model,computer science,service discovery protocol
Service design,World Wide Web,Computer science,Computer security,Computer network,Service provider,Differentiated service,Service catalog,Service level requirement,Service discovery,Data as a service,Service delivery framework
Conference
ISBN
Citations 
PageRank 
0-7695-2090-1
32
1.67
References 
Authors
12
3
Name
Order
Citations
PageRank
Feng Zhu116211.68
Matt Mutka22514361.75
Lionel M. Ni39462802.67