Network Security Technology of Supply Chain Management Based on Internet of Things and Big Data.


Journal

Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357

Informations de publication

Date de publication:
2022
Historique:
received: 20 04 2022
revised: 30 05 2022
accepted: 04 06 2022
entrez: 1 7 2022
pubmed: 2 7 2022
medline: 2 7 2022
Statut: epublish

Résumé

In order to improve the network security of supply chain management based on the Internet of Things and big data, this paper studies the Internet of Things and big data technology and analyzes the data processing process of the Internet of Things. On the premise that the terminal device meets the requirements of delay and energy consumption, a data offloading encryption model is established to offload data to multiple edge servers for encryption. In addition, this paper proposes an optimization problem including overall security, delay, and equipment energy consumption and establishes a mathematical model that maximizes overall security under the condition of satisfying the requirements of delay and equipment energy consumption. From the simulation data, it can be seen that the network security technology of supply chain management based on the Internet of Things and big data proposed in this paper can achieve effective management and control of supply chain nodes and improve their information security.

Identifiants

pubmed: 35774432
doi: 10.1155/2022/7753086
pmc: PMC9239791
doi:

Types de publication

Journal Article Retracted Publication

Langues

eng

Sous-ensembles de citation

IM

Pagination

7753086

Commentaires et corrections

Type : RetractionIn

Informations de copyright

Copyright © 2022 Xiuchun Lin.

Déclaration de conflit d'intérêts

The author declares that there are no conflicts of interest regarding this work.

Auteurs

Xiuchun Lin (X)

College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China.

Classifications MeSH