Blockchain based optimized data storage with secure communication for Internet of Vehicles considering active, passive, and double spending attacks
In the study, the authors propose a double blockchain based vehicular system for optimizing data storage and securing communication in Internet of Vehicles (IoV) networks. They propose an incentive mechanism and a reputation system to reduce the selfish and distrustful behavior of IoV nodes. Moreover, they propose an encryption technique to protect the proposed system from passive and active attacks. The proposed technique is a hybrid of Rivest Shamir Adleman and Advanced Encryption Standard-256 (AES-256+RSA). The authors use this hybrid approach to efficiently and secretly share the users' secret keys. To address the issues of high resource consumption and communication delay, they propose a cache memory technique for miner and controller nodes. In addition, they propose an authentication mechanism to remove malicious nodes from the system. The simulation results depict that their system provides security, scalability, optimized data storage, node's trustworthiness, and transparent data sharing.
- Record URL:
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/22142096
-
Supplemental Notes:
- © 2022 Elsevier Inc. All rights reserved. Abstract reprinted with permission of Elsevier.
-
Authors:
- Yahaya, Adamu Sani
- Javaid, Nadeem
-
0000-0003-3777-8249
- Zeadally, Sherali
- Farooq, Hassan
- Publication Date: 2022-10
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 100502
-
Serial:
- Vehicular Communications
- Volume: 37
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2214-2096
- Serial URL: http://www.sciencedirect.com/science/journal/22142096/1/2
Subject/Index Terms
- TRT Terms: Blockchains; Computer security; Internet of things; Network nodes; Simulation; Vehicular ad hoc networks
- Subject Areas: Data and Information Technology; Highways;
Filing Info
- Accession Number: 01852683
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 22 2022 4:07PM