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

<p>Nowadays, cloud computing technology is developing rapidly, and cloud platforms as a new type of information service mode. The importance of its security is self-evident. This paper builds a comprehensive database for agricultural administrative law enforcement based on the cloud platform. It constructs a hybrid data encryption algorithm that utilizes the AES algorithm and ECC algorithm in parallel. The ECC algorithm uses the public key to encrypt the secret key, and after that, the AES algorithm converts plaintext data in the database into ciphertext data. Following the testing of the hybrid encryption algorithm’s security and operational performance through experiments, the database’s security and privacy performance are also evaluated. The comprehensive agricultural law enforcement database constructed in this paper is able to rapidly reduce the degree of trust in users with abnormal behavior in the monitoring of user behavior that is not conducive to data security and privacy protection and reduce the degree of user trust to 0.022 when the number of times of dynamic monitoring is 20 times, which effectively protects the data security and privacy in the database. The hybrid encryption algorithm database designed in this paper provides a reference for data security and privacy protection. It has strong practical application value in the field of comprehensive agricultural administrative law enforcement.</p>
</abstract>

Nowadays, cloud computing technology is developing rapidly, and cloud platforms as a new type of information service mode. The importance of its security is self-evident. This paper builds a comprehensive database for agricultural administrative law enforcement based on the cloud platform. It constructs a hybrid data encryption algorithm that utilizes the AES algorithm and ECC algorithm in parallel. The ECC algorithm uses the public key to encrypt the secret key, and after that, the AES algorithm converts plaintext data in the database into ciphertext data. Following the testing of the hybrid encryption algorithm’s security and operational performance through experiments, the database’s security and privacy performance are also evaluated. The comprehensive agricultural law enforcement database constructed in this paper is able to rapidly reduce the degree of trust in users with abnormal behavior in the monitoring of user behavior that is not conducive to data security and privacy protection and reduce the degree of user trust to 0.022 when the number of times of dynamic monitoring is 20 times, which effectively protects the data security and privacy in the database. The hybrid encryption algorithm database designed in this paper provides a reference for data security and privacy protection. It has strong practical application value in the field of comprehensive agricultural administrative law enforcement.

Data Security and Privacy Protection in the Comprehensive Agricultural Administrative Law Enforcement Database

Applied Mathematics and Nonlinear Sciences

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

Nowadays, cloud computing technology is developing rapidly, and cloud platforms as a new type of information service mode. The importance of its security is...

Data Security and Privacy Protection in the Comprehensive Agricultural Administrative Law Enforcement Database

Online veröffentlicht: 02. Juli 2024

Seitenbereich: -

Eingereicht: 15. März 2024

Akzeptiert: 29. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1546

Schlüsselwörter
Cloud platform, AES algorithm, ECC algorithm, Data security, Administrative law enforcement database

© 2024 Wanqiang Song, published by Sciendo

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

Data Security and Privacy Protection in the Comprehensive Agricultural Administrative Law Enforcement Database

Online veröffentlicht: 02. Juli 2024

Seitenbereich: -

Eingereicht: 15. März 2024

Akzeptiert: 29. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1546

SchlüsselwörterCloud platform, AES algorithm, ECC algorithm, Data security, Administrative law enforcement database

© 2024 Wanqiang Song, published by Sciendo

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

Schlüsselwörter
Cloud platform, AES algorithm, ECC algorithm, Data security, Administrative law enforcement database