Privacy-preserving content-based image retrieval in edge environment

Yan, Yuejing; Xu, Yinghui; Zhang, Yiran; Wang, Zhiheng; Rao, Zheheng

doi:10.1007/s10586-021-03404-2

Cited by 4 publications

(2 citation statements)

References 49 publications

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“…Some researches consider using secure multi-party computing technology to realize PCBIR schemes in edge computing environment. Yan et al [14] propose a PCBIR scheme in edge computing environment through data exchange between multiple edge servers, while the scheme must be deployed on a specific number of edge servers, which may lead to problems in the scalability and flexibility. Wang et al [15] propose a secret sharing homomorphism scheme, which divide face feature vector into n shares and store them in n servers respectively.…”

Section: Related Workmentioning

confidence: 99%

“…2) Information entropy Information entropy represents the uncertainty of encrypted features, which is defined as follows: 𝐻𝐻 = − � 𝑇𝑇(𝑥𝑥(𝑖𝑖)) × 𝑇𝑇𝑙𝑙𝐼𝐼 2 𝑇𝑇(𝑥𝑥(𝑖𝑖)) 𝑛𝑛 𝑖𝑖=0 (14) where 𝑥𝑥(𝑖𝑖) is the encrypted feature, 𝐸𝐸 is the length of 𝑥𝑥(𝑖𝑖), 𝑇𝑇(𝑥𝑥(𝑖𝑖)) is the probability of 𝑥𝑥(𝑖𝑖). The entropy for the index share of the proposed scheme, the encrypted features of three methods proposed by Lu [6], the encrypted features in homomorphism scheme [10], plaintext features and random data are shown in Table 3.…”

Section: Fig 3 Autocorrelation Function Of Encrypted Featuresmentioning

confidence: 99%

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A Privacy-preserving Image Retrieval Scheme in Edge Computing Environment

2023

KSII TIIS

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Traditional cloud computing faces some challenges such as huge energy consumption, network delay and single point of failure. Edge computing is a typical distributed processing platform which includes multiple edge servers closer to the users, thus is more robust and can provide real-time computing services. Although outsourcing data to edge servers can bring great convenience, it also brings serious security threats. In order to provide image retrieval while ensuring users' data privacy, a privacy preserving image retrieval scheme in edge environment is proposed. Considering the distributed characteristics of edge computing environment and the requirement for lightweight computing, we present a privacy-preserving image retrieval scheme in edge computing environment, which two or more "honest but curious" servers retrieve the image quickly and accurately without divulging the image content. Compared with other traditional schemes, the scheme consumes less computing resources and has higher computing efficiency, which is more suitable for resource-constrained edge computing environment. Experimental results show the algorithm has high security, retrieval accuracy and efficiency.

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Section: Related Workmentioning

confidence: 99%