DocumentCode
125491
Title
Trustworthy Service Composition in Service-Oriented Mobile Social Networks
Author
Tao Zhang ; Jianfeng Ma ; Ning Xi ; Ximeng Liu ; Zhiquan Liu ; Jinbo Xiong
Author_Institution
Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´an, China
fYear
2014
fDate
June 27 2014-July 2 2014
Firstpage
684
Lastpage
687
Abstract
In service-oriented mobile social networks (S-MSN), many location-based services are developed to provide various applications to social participants. Services can in turn be composed with the help of these participants. However, the composite structure, the subjective interpretation of trust demand, and the opportunistic connectivity make service composition a challenging task in S-MSN. In this paper, we propose a novel approach to enable trustworthy service evaluation and invocation during the process of composition. By analyzing dependency relationships, our approach can decentralizedly evaluate the trust degree of each service based on a lattice-based trust model to prevent data from being transmitted to untrustworthy counterparts. Besides, service consumers and vendors are able to specify their global and local constraints on the trust degree of service components on demand for more effective composition. Finally, by introducing acquaintances to the neighbors iteratively, social participants form a trust-aware acquaintance graph to forward invocation messages.
Keywords
mobile computing; service-oriented architecture; social networking (online); trusted computing; S-MSN; composite structure; service-oriented mobile social networks; trust degree; trust-aware acquaintance graph; trustworthy service composition; Computational modeling; Educational institutions; Equations; Mobile communication; Mobile computing; Social network services; System-on-chip; acquaintance graph; service composition; service evaluation; service-oriented mobile social network; trust;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Services (ICWS), 2014 IEEE International Conference on
Conference_Location
Anchorage, AK
Print_ISBN
978-1-4799-5053-9
Type
conf
DOI
10.1109/ICWS.2014.102
Filename
6928962
Link To Document