Context-Aware Verifiable Cloud Computing

By Zheng Yan, Xixun Yu, Wenxiu Ding. 2017

25 citations recorded by the source corpus.

Internet of Things (IoTs) has emerged to motivate various intelligent applications based on the data collected by various “things.” Cloud computing plays an important role for big data processing by providing data computing and processing services. However, cloud service providers may invade data privacy and provide inaccurate data processing results to users, and thus cannot be fully trusted. On the other hand, limited by computation resources and capabilities, cloud users mostly cannot independently process big data and perform verification on the correctness of data processing. This raises a special challenge on cloud computing verification, especially when user data are stored at the cloud in an encrypted form and processed for satisfying the requests raised in different contexts. But the current literature still lacks serious studies on this research issue. In this paper, we propose a context-aware verifiable computing scheme based on full homomorphic encryption by deploying an auditing protocol to verify the correctness of the encrypted data processing result. We design four optional auditing protocols to satisfy different security requirements. Their performance is evaluated and compared through performance analysis, algorithm implementation, and system simulation. The results show the effectiveness and efficiency of our designs. The pros and cons of all protocols are also analyzed and discussed based on rigorous comparison.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Wenxiu Ding
2. Zheng Yan
3. Xuyang Jing
4. Laurence Tianruo Yang

In Computer Networks and Communications

1. Wenxiu Ding
2. Zheng Yan

In Information Systems

1. Wenxiu Ding
2. Zheng Yan
3. Laurence Tianruo Yang

Citations in the corpus

• A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, background): “Verifiable computation has been deeply researched in cloud computing [134, 135], but big data in IoT makes it a difficult problem.”