VABKS: Verifiable attribute-based keyword search over outsourced encrypted data

By Qingji Zheng, Shouhuai Xu, Giuseppe Ateniese. IEEE Conference on Computer Communications, 2014

497 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/e3763fa17a68901818fb2e11c9e229efb710a8a8

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. Feng Hu
2. Yanchao Zhao
3. Xiaonan Lin
4. Xiang Cheng
5. Yicheng Zhang
6. Jinguang Han
7. Jiale Zhang
8. Bing Chen

In Information Systems

1. Feng Hu
2. Yanchao Zhao
3. Xiang Cheng
4. Jinguang Han
5. Jiale Zhang
6. Bing Chen

Citations in the corpus

• Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, methodology): “[115] proposed a novel cryptographic scheme called Verifiable Attribute-Based Keyword Search (VABKS) to further defined the search authority problem, this scheme allows the data owner to control the search and use of their outsourced encrypted data according to the access control strategy, while aut”
• KSF-OABE: Outsourced Attribute-Based Encryption with Keyword Search Function for Cloud Storage (2017, background): “[31] have been proposed to focus on the above problems.”