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

<p>In this paper, we use the event map as well as the even map reaction system, combined with the lightweight network data transmission encryption method of matrix tensor product, to establish the even map model for big data security management. The transmission data is compressed and reconstructed by matrix tensor compression perception, and the lightweight AES encryption of network transmission data is encrypted using the symmetric encryption method. In the end, the effectiveness of AES encryption and decryption while transmitting plaintext data is assessed for each department of Enterprise D in the service area of Edge Server Server. The results show that the lightweight AES encryption algorithm encrypts at an average of 85.33 ms less than the AES encryption algorithm, while the decryption time is 48.17 ms less, and the operation speed is faster. The algorithm demonstrates that it ensures the security of data transmission and enhances encryption and decryption performance simultaneously. In this paper, the research realizes the enterprise data transmission encryption college transmission, which provides a reference for data encryption.</p>
</abstract>

In this paper, we use the event map as well as the even map reaction system, combined with the lightweight network data transmission encryption method of matrix tensor product, to establish the even map model for big data security management. The transmission data is compressed and reconstructed by matrix tensor compression perception, and the lightweight AES encryption of network transmission data is encrypted using the symmetric encryption method. In the end, the effectiveness of AES encryption and decryption while transmitting plaintext data is assessed for each department of Enterprise D in the service area of Edge Server Server. The results show that the lightweight AES encryption algorithm encrypts at an average of 85.33 ms less than the AES encryption algorithm, while the decryption time is 48.17 ms less, and the operation speed is faster. The algorithm demonstrates that it ensures the security of data transmission and enhances encryption and decryption performance simultaneously. In this paper, the research realizes the enterprise data transmission encryption college transmission, which provides a reference for data encryption.

Lightweight encryption of enterprise data and secure management of eventual graphical model construction

Applied Mathematics and Nonlinear Sciences

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

In this paper, we use the event map as well as the even map reaction system, combined with the lightweight network data transmission encryption method of...

Lightweight encryption of enterprise data and secure management of eventual graphical model construction

Online veröffentlicht: 29. Nov. 2023

Seitenbereich: -

Eingereicht: 25. Dez. 2022

Akzeptiert: 09. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01279

Schlüsselwörter
Big data management, Even graph model, Matrix tensor, Compression-aware, Lightweight AES encryption

© 2023 Kunpeng Liu et al., published by Sciendo

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

Lightweight encryption of enterprise data and secure management of eventual graphical model construction

Online veröffentlicht: 29. Nov. 2023

Seitenbereich: -

Eingereicht: 25. Dez. 2022

Akzeptiert: 09. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01279

SchlüsselwörterBig data management, Even graph model, Matrix tensor, Compression-aware, Lightweight AES encryption

© 2023 Kunpeng Liu et al., published by Sciendo

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

Schlüsselwörter
Big data management, Even graph model, Matrix tensor, Compression-aware, Lightweight AES encryption