استرجاع الصور المشفرة باستخدام الشبكة العصبية الالتفافية والتشفير المتماثل الكامل

Rout NK, Atulkar M, Ahirwal MK. A review on content-based image retrieval system: Present trends and future challenges. Int J Comput Vis Robot. 2021; 11(5): 461-485. doi:10.1504/IJCVR.2021.117578

Murala S, Maheshwari RP, Balasubramanian R. Local tetra patterns: A new feature descriptor for content-based image retrieval. IEEE Trans Image Process. 2012; 21(5): 2874-2886. doi:10.1109/TIP.2012.2188809

Onoufriou G, Mayfield P, Leontidis G. Fully Homomorphically Encrypted Deep Learning as a Service. Mach Learn Knowl Extr. 2021; 3(4): 819-834. doi:10.3390/make3040041.

Denning DER. Cryptography and Data Security. 1982; Addison-Wesley Longman Publishing Co., Inc. Boston,MA United States. http://portal.acm.org/citation.cfm?id=SERIES11430.539308

Yassein HR, Al-Saidi NMG, Farhan AK. A new NTRU cryptosystem outperforms three highly secured NTRU-analog systems through an innovational algebraic structure. J Discret Math Sci Cryptogr. 2020;(June). doi:10.1080/09720529.2020.1741218

Armknecht F, Katzenbeisser S, Peter A. Group homomorphic encryption: Characterizations, impossibility results, and applications. Des Codes, Cryptogr. 2013;67(2):209-232. doi:10.1007/s10623-011-9601-2

Gentry C. A Fully Homomorphic Encryption Scheme. PhD [dissertation]Stanford Univ. 2009;(September). http://cs.au.dk/~stm/local-cache/gentry-thesis.pdf

Plantard T, Susilo W, Zhang Z. Fully homomorphic encryption using hidden ideal lattice. IEEE Trans Inf Forensics Secur. 2013; 8(12): 2127-2137. doi:10.1109/TIFS.2013.2287732

Chung H, Kim M, Al Badawi A, Aung KMM, Veeravalli B. Homomorphic comparison for point numbers with user-controllable precision and its applications. Symmetry (Basel). 2020; 12(5): 1-22. doi:10.3390/SYM12050788

Pedrouzo-Ulloa A, Troncoso-Pastoriza JR, Gama N, Georgieva M, Pérez-González F. Revisiting multivariate ring learning with errors and its applications on lattice-based cryptography. Mathematics. 2021; 9(8): 1-42. doi:10.3390/math9080858

Liu J, Wang C, Tu Z, Wang XA, Lin C, Li Z. Secure KNN Classification Scheme Based on Homomorphic Encryption for Cyberspace. Secur Commun Networks. 2021; 2021: 1-12. doi:10.1155/2021/8759922

Amine Boulemtafes, Abdelouahid Derhab YC. A review of privacy-preserving techniques for deep learning. Neurocomputing, Elsevier. 2020; 384(4): 21-45. doi:10.1016/j.neucom.2019.11.041

Kadhim AF, Kamal ZA. Generating dynamic S-BOX based on Particle Swarm Optimization and Chaos Theory for AES. Iraqi J Sci. 2018; 59(3): 1733-1745. doi:10.24996/IJS.2018.59.3C.18

Xu Y, Zhao X, Gong J. A Large-Scale Secure Image Retrieval Method in Cloud Environment. IEEE Access. 2019; 7: 160082-160090. doi:10.1109/ACCESS.2019.2951175

Xia Z, Ma X, Shen Z, Sun X, Xiong NN. Secure Image LBP Feature Extraction in Cloud- based Smart Campus. IEEE Access. 2018; PP(c): 1. doi:10.1109/ACCESS.2018.2845456

Cao Z, Mu S, Xu Y, Dong M. Image retrieval method based on CNN and dimension reduction. In 2018. Int. Conf. Secur. Pattern Anal. Cybern, SPAC 2018; 2018: 441-445. doi:10.1109/SPAC46244.2018.8965601

Verma M, Raman B. Local neighborhood difference pattern : A new feature descriptor for natural and texture image retrieval. Multimed Tools Appl Springer Sci. 2018; 77: 11843–11866. doi:10.1007/s11042-017-4834-3

Selvam S, Kannan ST. A New Architecture for Image Retrieval Optimization with HARP Algorithm. Asian J Comput Sci Technol. 2017; 6(1): 1-5.

Du A, Wang L, Cheng S, Ao N. A privacy-protected image retrieval scheme for fast and secure image search. Symmetry. 2020; 12(2):1-17. doi:https://doi.org/10.3390/sym12020282.

Khokher A, Talwar R. Content-based image retrieval at the end of the early years. IEEE Trans Pattern Anal Mach Intell. 2000;22(12):1349-1380.

He Q, He H. A novel method to enhance sustainable systems security in cloud computing based on the combination of encryption and data mining. Sustain. 2021;13(1):1-17. doi:10.3390/su13010101

Kuo CH, Chou YH, Chang PC. Using deep convolutional neural networks for image retrieval. In: Visual Information Processing and Communication. IS&T Int. Symp. Electron. Imaging Sci Technol. 2016: 1-6. doi:10.2352/ISSN.2470-1173.2016.2.VIPC-231

Huang HK, Chiu CF, Kuo CH, Wu YC, Chu NNY, Chang PC. Mixture of deep CNN-based ensemble model for image retrieval. 2016 IEEE 5th Glob Conf Consum Electron GCCE 2016. 2016; (2): 5-6. doi:10.1109/GCCE.2016.7800375

Khan UA, Javed A, Ashraf R. An effective hybrid framework for content based image retrieval (CBIR). Multimed Tools Appl. 2021; 80(17): 26911-26937. doi:10.1007/s11042-021-10530-x

Ali F, Mohammed AH. Content Based Image Retrieval (CBIR) by statistical methods. Baghdad Sci J. 2020;17:694-700. doi:10.21123/bsj.2020.17.2(SI).0694

Challa RK, Gunta VK. A modified symmetric key fully homomorphic encryption scheme based on Read-Muller Code. Baghdad Sci J. 2021; 18(2): 899-906. doi:10.21123/bsj.2021.18.2(Suppl.).0899

Syed D, Refaat SS, Bouhali O. Privacy preservation of data-driven models in smart grids using homomorphic encryption. Inf. 2020;11(7):1-17. doi:10.3390/info11070357

Lou Q, Jiang L. SHE: A fast and accurate deep neural network for encrypted data. Adv Neural Inf Process Syst. 2019; 32(NeurIPS):1-9.

Obla S, Gong X, Aloufi A, Hu P, Takabi D. Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks. IEEE Access. 2020; 8: 153098-153112. doi:10.1109/ACCESS.2020.3017436

Kwabena OA, Qin Z, Qin Z, Zhuang T. MSCryptoNet: Multi-Scheme Privacy-Preserving Deep Learning in Cloud Computing. IEEE Access. 2019; 7: 29344-29354. doi:10.1109/ACCESS.2019.2901219

Clet P-E, Stan O, Zuber M. BFV, CKKS, TFHE: Which One Is the Best for a Secure Neural Network Evaluation in the Cloud? Springer International Publishing; 2021. doi:10.1007/978-3-030-81645-2_16

Zhang Q, Zhang M, Chen T, Sun Z, Ma Y, Yu B. Recent advances in convolutional neural network acceleration. Neurocomputing. 2019; 323: 37-51. doi:10.1016/j.neucom.2018.09.038

Tzelepi M, Tefas A. Deep convolutional learning for Content Based Image Retrieval. Neurocomputing. 2018; 275: 2467-2478. doi:10.1016/j.neucom.2017.11.022

Bologna G. A Simple Convolutional Neural Network with Rule Extraction. Appl Sci. 2019; 9(12): 2411. doi:10.3390/app9122411

Zaid Khalaf Hussien BND. Anomaly Detection Approach Based on Deep Neural Network and Dropout. Baghdad Sci J. 2020; 17:701-709.

Will MA, Ko RKL. A Guide to Homomorphic Encryption. Elsevier Inc. 2015. doi:10.1016/B978-0-12-801595-7.00005-7

Shrestha R, Kim S, Integration of IoT with Blockchain and Homomorphic Encryption: Challenging Issues and Opportunities. Adv Comput. 2019; 115. 1st ed. Elsevier Inc. doi:10.1016/bs.adcom.2019.06.002

Hee CJ, Andrey K, Miran K, Yongsoo S. Homomorphic Encryption for Arithmetic of Approximate Numbers. In: Inte Conf T Appl Crypt and Inf S Springer. 2017: 409–437. doi:10.1007/978-3-319-78381-9_14