1. 西安电子科技大学计算机学院,陕西,西安,710071
2. 福建师范大学软件学院,福建,福州,350108
3. 西安电子科技大学陕西省网络与系统安全重点实验室,陕西,西安,710071
4. 西安电子科技大学计算机学院,陕西,西安,710071
5. 福建师范大学软件学院,福建,福州,350108
6. 西安电子科技大学陕西省网络与系统安全重点实验室,陕西,西安,710071
纸质出版:2016
移动端阅览
张涛, 马建峰, 习宁, 等. 面向服务移动社交网络中基于信任的分布式服务组合方法[J]. 电子学报, 2016,44(2):258-267.
ZHANG Tao, MA Jian-feng, XI Ning, et al. Trust-Based Decentralized Service Composition Approach in Service-Oriented Mobile Social Networks[J]. Acta Electronica Sinica, 2016, 44(2): 258-267.
张涛, 马建峰, 习宁, 等. 面向服务移动社交网络中基于信任的分布式服务组合方法[J]. 电子学报, 2016,44(2):258-267. DOI: 10.3969/j.issn.0372-2112.2016.02.003.
ZHANG Tao, MA Jian-feng, XI Ning, et al. Trust-Based Decentralized Service Composition Approach in Service-Oriented Mobile Social Networks[J]. Acta Electronica Sinica, 2016, 44(2): 258-267. DOI: 10.3969/j.issn.0372-2112.2016.02.003.
针对服务不透明性、信任需求主观性及移动参与者连接机会性对面向服务移动社交网络中可信服务组合带来的问题
提出基于信任的分布式服务组合方法.该方法基于格模型建立分布式服务信任评估框架
分别在组件和组合级评估服务信任度以避免不可信的数据传输;通过分析服务依赖关系
实现满足全局和局部信任约束可信服务选择;基于蒙特卡洛方法建立可信路径选择、优化和容错算法传输服务评估调用信息.实验结果表明所提方法在服务评估开销低
在路径选择成功率和信任度高
是适应面向服务移动社交网络的服务组合方法.
Trustworthy service composition in service-oriented mobile social networks suffers from the opaque characteristics of service components
the subjective interpretation of trust requirements
and the opportunistic connectivity of social participants.To tackle these issues
we propose a trust-based decentralized service-composition approach.The proposed approach decentralizedly evaluates the trustworthiness of target services at both component and composite levels based on a lattice-based trust model to prevent data from being transmitted to untrustworthy counterparts.Moreover
by analyzing the dependency relationships
service are selected satisfied both global and local constraints specified by service consumers and vendors respectively.Finally
based on Monte Carlo method
a trustworthy social path selection
optimization and fault-tolerant approach is developed to deliver service evaluation and invocation information.Experimental results demonstrate its practical suitability of service composition for service-oriented mobile social networks
which leads to low cost for service evaluation
as well as high success rate and aggregated trust value for path selection.
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