Internet of things for smart manufacturing based on advanced encryption standard (AES) algorithm with chaotic system
Tài liệu tham khảo
Xia, 2021, A digital twin to train deep reinforcement learning agent for smart manufacturing plants: environment, interfaces and intelligence, J. Manuf. Syst., 58, 210, 10.1016/j.jmsy.2020.06.012
Wu, 2022, An integrated framework for blockchain-enabled supply chain trust management towards smart manufacturing, Adv. Eng. Inf., 51, 10.1016/j.aei.2021.101522
Turaka, 2023, A novel approach for design energy efficient inexact reverse carry select adders for IoT applications, Results Eng., 18, 10.1016/j.rineng.2023.101127
Terziyan, 2023, Encryption and generation of images for privacy-preserving machine learning in smart manufacturing, Proc. Comput. Sci., 217, 91, 10.1016/j.procs.2022.12.205
Costa, 2020, Guidelines for machine tool sensing and smart manufacturing integration, Procedia Manuf., 51, 251, 10.1016/j.promfg.2020.10.036
Paraschos, 2022, Machine learning integrated design and operation management for resilient circular manufacturing systems, Comput. Ind. Eng., 167, 10.1016/j.cie.2022.107971
Gu, 2023, Multistage quality control in manufacturing process using blockchain with machine learning technique, Inf. Process. Manag., 60, 10.1016/j.ipm.2023.103341
Majstorovic, 2021, Smart manufacturing as a framework for smart mining, Procedia CIRP, 104, 188, 10.1016/j.procir.2021.11.032
Nguyen, 2022, Analysis of distributed ledger technologies for industrial manufacturing, Sci. Rep., 12, 10.1038/s41598-022-22612-3
Eric, 2023, A hybrid chaotic-based discrete wavelet transform and Aquila optimisation tuned-artificial neural network approach for wind speed prediction, Results Eng., 14
Li, 2020, Internet-based intelligent and sustainable manufacturing: developments and challenges, Int. J. Adv. Des. Manuf. Technol., 108, 1767, 10.1007/s00170-020-05445-0
Kim, 2022, Recent advances of artificial intelligence in manufacturing industrial sectors: a review, Int. J. Precis. Eng. Manuf., 1
Xu, 2021, Cross-layer device authentication with quantum encryption for 5G enabled IIoT in industry 4.0, IEEE Trans. Ind. Inf., 18, 6368, 10.1109/TII.2021.3130163
Khayyat, 2022, Blockchain enabled optimal Hopfield Chaotic Neural network based secure encryption technique for industrial internet of things environment, Alex. Eng. J., 61, 11377, 10.1016/j.aej.2022.05.002
Elhabob, 2020, An efficient certificateless public key cryptography with authorized equality test in IIoT, J. Ambient Intell. Hum. Comput., 11, 1065, 10.1007/s12652-019-01365-4
Li, 2022, A lightweight and verifiable access control scheme with constant size ciphertext in edge-computing-assisted IoT, IEEE Internet Things J., 9, 19227, 10.1109/JIOT.2022.3165576
Wang, 2023, Smart contract token-based privacy-preserving access control system for industrial Internet of Things, Digit. Commun. Network, 9, 337, 10.1016/j.dcan.2022.10.005
Abdi Nasib Far, 2021, LAPTAS: lightweight anonymous privacy-preserving three-factor authentication scheme for WSN-based IIoT, Wireless Network, 27, 1389, 10.1007/s11276-020-02523-9
Yi, 2021, Smart factory: security issues, challenges, and solutions, J. Ambient Intell. Hum. Comput., 1
Shen, 2021, Secure sharing of big digital twin data for smart manufacturing based on blockchain, J. Manuf. Syst., 61, 338, 10.1016/j.jmsy.2021.09.014
Tang, 2020, A permissioned blockchain based feature management system for assembly devices, IEEE Access, 8, 183378, 10.1109/ACCESS.2020.3028606
Cui, 2022, An anonymous and outsourcing-supported multiauthority access control scheme with revocation for edge-enabled IIoT system, IEEE Syst. J., 16, 6569, 10.1109/JSYST.2022.3189219
Cui, 2022, Efficient and anonymous cross-domain authentication for IIoT based on blockchain, IEEE Trans. Network Sci. Eng.
Choi, 2022, Explainable anomaly detection framework for predictive maintenance in manufacturing systems, Appl. Soft Comput., 125, 10.1016/j.asoc.2022.109147
Zhao, 2021, Trustworthy authorization method for security in industrial internet of things, Ad Hoc Netw., 121, 10.1016/j.adhoc.2021.102607
Ferretti, 2021, Verifiable and auditable authorizations for smart industries and industrial Internet-of-Things, J. Inf. Secur. Appl., 59
Demertzis, 2020, Anomaly detection via blockchained deep learning smart contracts in industry 4.0, Neural Comput. Appl., 32, 17361, 10.1007/s00521-020-05189-8
Kim, 2022, Industrial network-based behavioral anomaly detection in AI-enabled smart manufacturing, J. Supercomput., 78, 13554, 10.1007/s11227-022-04408-4
Tang, 2022, Lattice-based public-key encryption with conjunctive keyword search in multi-user setting for IIoT, Cluster Comput., 25, 2305, 10.1007/s10586-021-03488-w
Fröhlich, 2023, A secure IIoT gateway architecture based on trusted execution environments, J. Netw. Syst. Manag., 31, 32, 10.1007/s10922-023-09723-6
Liu, 2023, A blockchain assisted multi-gateway authentication scheme for IIoT based on group, Peer-to-Peer Network. Appl., 16, 245, 10.1007/s12083-022-01386-5
Cabrera-Gutiérrez, 2022, Integration of hardware security modules and permissioned blockchain in industrial IoT networks, IEEE Access, 10, 114331, 10.1109/ACCESS.2022.3217815
Wu, 2020, A trust-evaluation-enhanced blockchain-secured industrial IoT system, IEEE Internet Things J., 8, 5510, 10.1109/JIOT.2020.3030689