Privacy-Preserving Threshold-Based Image Retrieval in Cloud-Assisted Internet of Things

Author:

Song Lin1ORCID,Miao Yinbin1ORCID,Weng Jian2ORCID,Choo Kim-Kwang Raymond3ORCID,Liu Ximeng4ORCID,Deng Robert H.5ORCID

Affiliation:

1. School of Cyber Engineering, Xidian University, Xi’an, China

2. College of Cyber Security, Jinan University, Guangzhou, China

3. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

4. Key Laboratory of Information Security of Network Systems, College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

5. School of Information Systems, Singapore Management University, Singapore

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Guangxi Key Laboratory of Cryptography and Information Security

Guangxi Key Laboratory of Trusted Software

Cloud Technology Endowed Professorship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Reference29 articles.

1. BOEW: A content-based image retrieval scheme using bag-of-encrypted-words in cloud computing;xia;IEEE Comput Archit Lett,2019

2. MSPPIR: Multi-source privacy-preserving image retrieval in cloud computing;gu;arXiv 2007 12416,2020

3. EPCBIR: An efficient and privacy-preserving content-based image retrieval scheme in cloud computing

4. TLSH -- A Locality Sensitive Hash

5. Secure and Verifiable Multikey Image Search in Cloud-Assisted Edge Computing

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