DVREI: Dynamic Verifiable Retrieval Over Encrypted Images - Details

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Abstract：

The　increasing　awareness　in　privacy　has　partly　contributed　to　the　renewed　interest　in　privacy-preserving　encrypted　image　retrieval,　and　designing　for　outsourced　images　stored　on　cloud　servers,　etc.　However,　there　are　some　limitations　in　these　existing　schemes　such　as　low　retrieval　accuracy,　low　retrieval　efficiency,　and　less　efficient　result　verification　in　the　dynamic　setting.　Therefore,　in　this　paper　we　present　a　novel　Dynamic　Verifiable　Retrieval　over　Encrypted　Images　(DVREI)　scheme.　First,　a　pre-trained　Convolutional　Neural　Network　(CNN)　model　is　utilized　to　extract　image　features　to　improve　retrieval　accuracy.　Then,　an　encrypted　index　based　on　the　K-means　clustering　algorithm　is　designed　to　improve　retrieval　efficiency.　Finally,　a　dynamic　verification　tree　based　on　the　chameleon　hash　is　used　to　verify　the　correctness　of　the　retrieval　results　and　support　dynamic　updates.　We　theoretically　and　experimentally　evaluate　the　security　and　performance　of　DVREI　to　demonstrate　its　practicability.　©　1968-2012　IEEE.

Keyword：

chameleon hash; dynamic update; Encrypted image retrieval; encrypted index; verifiable retrieval

Community：

[ 1 ] [Li, Y.]the School of Cyber Engineering, Xidian University, Xi'an, 710071, China
[ 2 ] [Li, Y.]the Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, 541004, China
[ 3 ] [Li, Y.]the Shaanxi Key Laboratory of Network and System Security, Xidian University, Xi'an, 710071, China
[ 4 ] [Ma, J.]the School of Cyber Engineering, Xidian University, Xi'an, 710071, China
[ 5 ] [Ma, J.]the Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, 541004, China
[ 6 ] [Ma, J.]the Shaanxi Key Laboratory of Network and System Security, Xidian University, Xi'an, 710071, China
[ 7 ] [Miao, Y.]the School of Cyber Engineering, Xidian University, Xi'an, 710071, China
[ 8 ] [Miao, Y.]the Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, 541004, China
[ 9 ] [Miao, Y.]the Shaanxi Key Laboratory of Network and System Security, Xidian University, Xi'an, 710071, China
[ 10 ] [Li, H.]the WeBank, Shenzhen, 440305, China
[ 11 ] [Li, H.]the College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China
[ 12 ] [Yan, Q.]the WeBank, Shenzhen, 440305, China
[ 13 ] [Yan, Q.]the College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China
[ 14 ] [Wang, Y.]the School of Cyber Engineering, Xidian University, Xi'an, 710071, China
[ 15 ] [Wang, Y.]the Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, 541004, China
[ 16 ] [Wang, Y.]the Shaanxi Key Laboratory of Network and System Security, Xidian University, Xi'an, 710071, China
[ 17 ] [Liu, X.]the Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, 518066, China
[ 18 ] [Choo, K.-K.R.]the Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX 78249, United States

Reprint 's Address：

[Miao, Y.]the School of Cyber Engineering, China

Email：

ybmiao@xidian.edu.cn

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Source ：

IEEE Transactions on Computers

ISSN： 0018-9340

Year： 2022

Issue： 8

Volume： 71

Page： 1755-1769

3 . 7

JCR@2022

3 . 6 0 0

JCR@2023

ESI HC Threshold：61

JCR Journal Grade：2

CAS Journal Grade：2

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 14

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 4

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