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Specifically, this paper examines and offers security management techniques for computer network data protection to establish an all-encompassing security shield for networked computers, with the ultimate goal of improving the safety and reliability of the net-worked computers used in commercial settings. Furthermore, the comprehensive research analysis determines an architectural model for machine intelligence-based network security maintenance (MI-NSM), implying an intrusion detection scheme with a novel neural network system. Labelling important properties of objects or data points and searching for commonalities allows the auto-mobile\u2019s AI to distinguish between a human, the street, another car, and the sky. The simulation evaluation is performed using the NS2 simulator and observes the security maintenance efficiency over the current security solutions. <\/jats:p>","DOI":"10.1142\/s0129626423400066","type":"journal-article","created":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T09:12:28Z","timestamp":1678180348000},"source":"Crossref","is-referenced-by-count":0,"title":["Performance Evaluation of Data-Centric Networks Based on Parallel and Distributed Architectures for Machine Intelligence Research"],"prefix":"10.1142","volume":"33","author":[{"given":"Linjiang","family":"Xie","sequence":"first","affiliation":[{"name":"Information Center of Yunnan, Power Grid Co. Ltd., Kunming, Yunnan 650000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feilu","family":"Hang","sequence":"additional","affiliation":[{"name":"Information Center of Yunnan, Power Grid Co. 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