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Cloud Security with Lightweight ABE on Mobile IoT Devices.
- Source :
- International Journal of Intelligent Engineering & Systems; 2023, Vol. 16 Issue 6, p145-157, 13p
- Publication Year :
- 2023
-
Abstract
- The internet of things (IoT) faces significant obstacles due to insufficient identity recognition and evolving network architecture, leading to concerns about the confidentiality of data and causing anxiety. The attribute-based encryption (ABE) techniques have recently been considered a solution to guarantee the security of data transfer and precise data sharing. However, most of the existing methods used the attribute-based encryption (ABE) technique, which requires a lot of computation power and is unsuitable for IoT devices with minimal resources. Researchers have achieved improvements in establishing practical methods for cloud security on mobile IoT devices using lightweight ABE. In this paper, the ciphertext policy-revocable and searchable attribute-based encryption (CP-RSABE) method is proposed to protect privacy and security. The proposed methods greatly lower the cost of computing IoT devices with the availability of multiple-keyword searchers for the users of data. The user's side of computation is very efficient, and the cloud server handles most of the computing tasks. The proposed method performs significantly better in terms of ciphertext size, decryption time, and parameter size. The method achieves data security, privacy preservation, and mobile terminal operations that are suitable for applications of IoT methods. The existing methods such as online/offline multi authority-ABE with cryptographic reverse firewalls (OO-MA-ABE-CRF), ciphertext policy ABE (CP-ABE), ABE with full privacy protection (ABE-FPP) are used to justify the effectiveness of CP-RSABE method. The proposed method CP-RSABE achieves the encryption time (0.0163s), decryption time (0.25s), communication overhead (3.4KB), size of secret key (5.1KB), and size of ciphertext (10.7KB) compared to the OO-MA-ABE-CRF, CP-ABE, ABE-FPP. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 2185310X
- Volume :
- 16
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- International Journal of Intelligent Engineering & Systems
- Publication Type :
- Academic Journal
- Accession number :
- 173261901
- Full Text :
- https://doi.org/10.22266/ijies2023.1231.13