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
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
7753086Commentaires 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.