Digital marketing solutions based on consumer data and homomorphic encryption
Pubblicato online: 23 dic 2022
Pagine: 2755 - 2770
Ricevuto: 09 mag 2022
Accettato: 16 ago 2022
DOI: https://doi.org/10.2478/amns.2021.2.00253
Parole chiave
© 2023 Bing Duan, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
In recent years, homomorphic encryption has attracted much research attention in the international cryptography community and is applied in various industries to enhance data confidentiality. With the advent of the era of big data, more and more data are available through online, using users another how to propose privacy protection models applicable to consumer data application scenarios under the premise of meeting data privacy, security and regulatory requirements, so that the models can formulate accurate marketing strategies more scientifically based on a large amount of consumer data, is the key to the current competition. In this process, more and more people are concerned about privacy confidentiality and security, and homomorphic encryption is of great significance for data processing security.