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摘要:
With the popularity of location based service (LBS),a vast number of trust medels for LBS recommendation (LBSR) have been proposed.These trust models are centralized in essence,and the trusted third party may collude with malicious service providers or cause the single-point failure problem.This work improves the classic certified reputation (CR) model and proposes a novel fully-distributed context-aware trust (FCT) model for LBSR.Recommendation operations are conducted by service providers directly and the trusted third party is no longer required in our FCT model.Besides,our FCT model also supports the movements of service providers due to its self-certified characteristic.Moreover,for easing the collusion attack and value imbalance attack,we comprehensively consider four kinds of factor weights,namely number,time decay,preference and context weights.Finally,a fully-distributed service recommendation scenario is deployed,and comprehensive experiments and analysis are conducted.The results indicate that our FCT model significantly outperforms the CR model in terms of the robustness against the collusion attack and value imbalance attack,as well as the service recommendation performance in improving the successful trading rates of honest service providers and reducing the risks of trading with malicious service providers.
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篇名 FCT: a fully-distributed context-aware trust model for location based service recommendation
来源期刊 中国科学(信息科学) 学科
关键词 trust model fully-distributed context-aware location based service service recommendation
年,卷(期) 2017,(8) 所属期刊栏目
研究方向 页码范围 97-112
页数 16页 分类号
字数 语种 中文
DOI 10.1007/s11432-015-9029-y
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研究主题发展历程
节点文献
trust model
fully-distributed
context-aware
location based service
service recommendation
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期刊影响力
中国科学(信息科学)
月刊
1674-7267
11-5846/N
北京东黄城根北街16号
chi
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