Cloud computing is very useful for big data owner who doesn't want to manage IT infrastructure and big data technique details. However, it is hard for big data owner to trust multi-layer outsourced big data system...Cloud computing is very useful for big data owner who doesn't want to manage IT infrastructure and big data technique details. However, it is hard for big data owner to trust multi-layer outsourced big data system in cloud environment and to verify which outsourced service leads to the problem. Similarly, the cloud service provider cannot simply trust the data computation applications. At last,the verification data itself may also leak the sensitive information from the cloud service provider and data owner. We propose a new three-level definition of the verification, threat model, corresponding trusted policies based on different roles for outsourced big data system in cloud. We also provide two policy enforcement methods for building trusted data computation environment by measuring both the Map Reduce application and its behaviors based on trusted computing and aspect-oriented programming. To prevent sensitive information leakage from verification process,we provide a privacy-preserved verification method. Finally, we implement the TPTVer, a Trusted third Party based Trusted Verifier as a proof of concept system. Our evaluation and analysis show that TPTVer can provide trusted verification for multi-layered outsourced big data system in the cloud with low overhead.展开更多
In recent years, the development of electronic commerce has led to the creation of many new and interesting business models for intemet-based buying, and online group-buying has become an effective form of it. Online ...In recent years, the development of electronic commerce has led to the creation of many new and interesting business models for intemet-based buying, and online group-buying has become an effective form of it. Online group-buying is a model in which consumers collaborate and purchase a good at a discounted price. The purpose of this study is to examine the effect of reputation, price and service on purchasing intention through mediator which is perceived risk. To empirically test the proposed model, a survey was conducted and 140 samples were collected. The result of this study shows price has a significant effect on purchasing intention through perceived risk. This result also shows service and reputation have an insignificant relationship with perceived risk. Therefore, online group-buying retailers should not only focus on making money from the business but also consider how to keep consumers for future business.展开更多
基金partially supported by grants from the China 863 High-tech Program (Grant No. 2015AA016002)the Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20131103120001)+2 种基金the National Key Research and Development Program of China (Grant No. 2016YFB0800204)the National Science Foundation of China (No. 61502017)the Scientific Research Common Program of Beijing Municipal Commission of Education (KM201710005024)
文摘Cloud computing is very useful for big data owner who doesn't want to manage IT infrastructure and big data technique details. However, it is hard for big data owner to trust multi-layer outsourced big data system in cloud environment and to verify which outsourced service leads to the problem. Similarly, the cloud service provider cannot simply trust the data computation applications. At last,the verification data itself may also leak the sensitive information from the cloud service provider and data owner. We propose a new three-level definition of the verification, threat model, corresponding trusted policies based on different roles for outsourced big data system in cloud. We also provide two policy enforcement methods for building trusted data computation environment by measuring both the Map Reduce application and its behaviors based on trusted computing and aspect-oriented programming. To prevent sensitive information leakage from verification process,we provide a privacy-preserved verification method. Finally, we implement the TPTVer, a Trusted third Party based Trusted Verifier as a proof of concept system. Our evaluation and analysis show that TPTVer can provide trusted verification for multi-layered outsourced big data system in the cloud with low overhead.
文摘In recent years, the development of electronic commerce has led to the creation of many new and interesting business models for intemet-based buying, and online group-buying has become an effective form of it. Online group-buying is a model in which consumers collaborate and purchase a good at a discounted price. The purpose of this study is to examine the effect of reputation, price and service on purchasing intention through mediator which is perceived risk. To empirically test the proposed model, a survey was conducted and 140 samples were collected. The result of this study shows price has a significant effect on purchasing intention through perceived risk. This result also shows service and reputation have an insignificant relationship with perceived risk. Therefore, online group-buying retailers should not only focus on making money from the business but also consider how to keep consumers for future business.
