Title: Hybrid encryption of Fernet and initialisation vector with attribute-based encryption: a secure and flexible approach for data protection

Authors: Madhavi Sadu

Addresses: Department of Computer Science and Engineering, RCERT, Chandarapur, India

Abstract: With the continuous growth and importance of data, the need for strong data protection becomes crucial. Encryption plays a vital role in preserving the confidentiality of data, and attribute-based encryption (ABE) offers a meticulous access control system based on attributes. This study investigates the integration of Fernet encryption with initialisation vector (IV) and ABE, resulting in a hybrid encryption approach that enhances both security and flexibility. By combining the advantages of Fernet encryption and IV-based encryption, the hybrid encryption scheme establishes an effective and robust mechanism for safeguarding data. Fernet encryption, renowned for its simplicity and efficiency, provides authenticated encryption, guaranteeing both the confidentiality and integrity of the data. The incorporation of an initialisation vector (IV) introduces an element of randomness into the encryption process, thereby strengthening the overall security measures. This research paper discusses the advantages and drawbacks of the hybrid encryption of Fernet and IV with ABE.

Keywords: hybrid encryption; Fernet; initialisation vector; IV; attribute-based encryption; ABE; data protection; access control; security.

DOI: 10.1504/IJBDI.2024.138940

International Journal of Big Data Intelligence, 2024 Vol.8 No.2, pp.137 - 149

Received: 30 May 2023
Accepted: 20 Aug 2023
Published online: 04 Jun 2024 *

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