<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>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.</p>
</abstract>

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.

Digital marketing solutions based on consumer data and homomorphic encryption

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Digital marketing solutions based on consumer data and homomorphic encryption"}

In recent years, homomorphic encryption has attracted much research attention in the international cryptography community and is applied in various industries...

Digital marketing solutions based on consumer data and homomorphic encryption

Publié en ligne: 23 déc. 2022

Pages: 2755 - 2770

Reçu: 09 mai 2022

Accepté: 16 août 2022

DOI: https://doi.org/10.2478/amns.2021.2.00253

Mots clés
homomorphic encryption, data security, marketing solutions, privacy protection, protection model

© 2023 Bing Duan, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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Digital marketing solutions based on consumer data and homomorphic encryption

Publié en ligne: 23 déc. 2022

Pages: 2755 - 2770

Reçu: 09 mai 2022

Accepté: 16 août 2022

DOI: https://doi.org/10.2478/amns.2021.2.00253

Mots cléshomomorphic encryption, data security, marketing solutions, privacy protection, protection model

© 2023 Bing Duan, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Mots clés
homomorphic encryption, data security, marketing solutions, privacy protection, protection model