{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T19:11:41Z","timestamp":1760728301339,"version":"3.37.3"},"reference-count":30,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,6,24]],"date-time":"2021-06-24T00:00:00Z","timestamp":1624492800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Joint Funds of China","award":["U20B2050","2018YFB1201500","62072368","61773313","61702411","2020GY-039","2021ZDLGY05-09","2017ZDXMGY-098","2019TD-014"],"award-info":[{"award-number":["U20B2050","2018YFB1201500","62072368","61773313","61702411","2020GY-039","2021ZDLGY05-09","2017ZDXMGY-098","2019TD-014"]}]},{"name":"National Key R & D Program of China","award":["U20B2050","2018YFB1201500","62072368","61773313","61702411","2020GY-039","2021ZDLGY05-09","2017ZDXMGY-098","2019TD-014"],"award-info":[{"award-number":["U20B2050","2018YFB1201500","62072368","61773313","61702411","2020GY-039","2021ZDLGY05-09","2017ZDXMGY-098","2019TD-014"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20B2050","2018YFB1201500","62072368","61773313","61702411","2020GY-039","2021ZDLGY05-09","2017ZDXMGY-098","2019TD-014"],"award-info":[{"award-number":["U20B2050","2018YFB1201500","62072368","61773313","61702411","2020GY-039","2021ZDLGY05-09","2017ZDXMGY-098","2019TD-014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Shaanxi Province","award":["U20B2050","2018YFB1201500","62072368","61773313","61702411","2020GY-039","2021ZDLGY05-09","2017ZDXMGY-098","2019TD-014"],"award-info":[{"award-number":["U20B2050","2018YFB1201500","62072368","61773313","61702411","2020GY-039","2021ZDLGY05-09","2017ZDXMGY-098","2019TD-014"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mobile Information Systems"],"published-print":{"date-parts":[[2021,6,24]]},"abstract":"<jats:p>With the rapid development of 5G technology, its high bandwidth, high reliability, low delay, and large connection characteristics have opened up a broader application field of IoT. Moreover, AIoT (Artificial Intelligence Internet of Things) has become the new development direction of IoT. Through deep learning of real-time data provided by the Internet of Things, AI can judge user habits more accurately, make devices behave in line with user expectations, and become more intelligent, thus improving product user experience. However, in the process, there is a lot of data interaction between the edge and the cloud. Given that the shared data contain a large amount of private information, preserving information security on the shared data is an important issue that cannot be neglected. In this paper, we combine deep learning with homomorphic encryption algorithm and design a deep learning network model based on secure multiparty computing (MPC). In the whole process, we realize that the cloud only owns the encryption samples of users, and users do not own any parameters or structural information related to the model. In the experimental part, we input the encrypted Mnist and Cifar-10 datasets into the model for testing, and the results show that the classification accuracy rate of the encrypted Mnist can reach 99.21%, which is very close to the result under plaintext. The classification accuracy rate of encrypted Cifar-10 can reach 91.35%, slightly lower than the test result in plaintext and better than the existing deep learning network model that can realize data privacy protection.<\/jats:p>","DOI":"10.1155\/2021\/5510857","type":"journal-article","created":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T17:50:07Z","timestamp":1624643407000},"page":"1-11","source":"Crossref","is-referenced-by-count":17,"title":["Deep Learning Data Privacy Protection Based on Homomorphic Encryption in AIoT"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6575-1954","authenticated-orcid":true,"given":"Yichuan","family":"Wang","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Xi\u2019an University of Technology, 710048 Xi\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7858-3889","authenticated-orcid":true,"given":"Xiaolong","family":"Liang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Xi\u2019an University of Technology, 710048 Xi\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6394-0492","authenticated-orcid":true,"given":"Xinhong","family":"Hei","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Xi\u2019an University of Technology, 710048 Xi\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjiang","family":"Ji","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Xi\u2019an University of Technology, 710048 Xi\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Xi\u2019an University of Technology, 710048 Xi\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1142\/S0217984917400644"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/tcsii.2020.3013336"},{"issue":"2","key":"3","first-page":"101","article-title":"CLSC-TKEM: a pairing-free certificateless signcryption-tag key encapsulation mechanism for a privacy-preserving IoT","volume":"9","author":"S. H. Seo","year":"2016","journal-title":"Transactions on Data Privacy"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/cc.2018.8424578"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2017.2705720"},{"article-title":"The role of edge computing in future 5G mobile networks: concept and challenges","volume-title":"Cloud and Fog Computing in 5G Mobile Networks: Emerging Advances and Applications","author":"P. S. K. S. Khodashenas","key":"6"},{"author":"A. A. Khan","key":"7","article-title":"5G next generation VANETs using SDN and fog computing framework"},{"issue":"5","key":"8","article-title":"Method and system for machine-learning based optimization and customization of document similarities calculation","volume":"24","author":"O. Brdiczka","year":"2012","journal-title":"Expert Systems"},{"author":"J. Byrne","key":"9","article-title":"Reliable capacity provisioning for distributed cloud\/edge\/fog computing applications"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.05.074"},{"volume-title":"Deep Learning","year":"2016","author":"I. Goodfellow","key":"11"},{"article-title":"Recent advances in convolutional neural networks","year":"2015","author":"J. Gu","key":"12"},{"author":"R. Shokri","key":"13","article-title":"Privacy-preserving deep learning"},{"key":"14","article-title":"On databanks and privacy homomorphism","author":"R. Rivest","year":"1978","journal-title":"Foundations of Secure Computation"},{"key":"15","unstructured":"BenalohJ.Verifiable secret-ballot electionsMay 1988New Haven, CT, USAYale UniversityPh.D. thesis"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1145\/359340.359342"},{"first-page":"169","article-title":"Fully homomorphic encryption using ideal lattices","author":"C. Gentry","key":"17"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1109\/tc.2018.2808962"},{"volume-title":"Improved Security for a Ring-Based Fully Homomorphic Encryption Scheme","year":"2013","author":"J. W. Bos","key":"19"},{"author":"N. Dowlin","key":"20","article-title":"CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy"},{"article-title":"On-the-fly multiparty computation on the cloud via multikey fully homomorphic encryption","author":"A. L\u00f3pez-Alt","key":"21","doi-asserted-by":"crossref","DOI":"10.1145\/2213977.2214086"},{"key":"22","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-20465-4_4","volume-title":"Making NTRU as Secure as Worst-Case Problems Over Ideal Lattices","author":"D. Stehl\u00e9","year":"2011"},{"author":"W. Zhang","key":"23","article-title":"Shift-invariant pattern recognition neural network and its optical architecture"},{"author":"H. Wu","key":"24","article-title":"Max-pooling dropout for regularization of convolutional neural networks"},{"article-title":"Permitted and forbidden sets in symmetric threshold-linear networks","author":"R. Hahnloser","key":"25","doi-asserted-by":"crossref","DOI":"10.1162\/089976603321192103"},{"first-page":"160","article-title":"Protocols for secure computations","author":"Yao","key":"26"},{"issue":"2","key":"27","first-page":"258","article-title":"Neural network for processing privacy-protected data","volume":"6","author":"Q. Z. Wang","year":"2019","journal-title":"Journal of Cryptologic Research"},{"key":"28","article-title":"Crypto-nets: neural networks over encrypted data","author":"P. Xie","year":"2014","journal-title":"Computer Science"},{"article-title":"CIFAR10 to compare visual recognition performance between deep neural networks and humans","year":"2018","author":"T. Ho-Phuoc","key":"29"},{"article-title":"ML confidential: machine learning on encrypted data","author":"T. Graepel","key":"30","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-37682-5_1"}],"container-title":["Mobile Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2021\/5510857.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2021\/5510857.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2021\/5510857.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T17:50:24Z","timestamp":1624643424000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/misy\/2021\/5510857\/"}},"subtitle":[],"editor":[{"given":"Xiaohong","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,6,24]]},"references-count":30,"alternative-id":["5510857","5510857"],"URL":"https:\/\/doi.org\/10.1155\/2021\/5510857","relation":{},"ISSN":["1875-905X","1574-017X"],"issn-type":[{"type":"electronic","value":"1875-905X"},{"type":"print","value":"1574-017X"}],"subject":[],"published":{"date-parts":[[2021,6,24]]}}}