| Title | Secure outsourced attribute-based signcryption for cloud-based Internet of Vehicles in a smart city |
|---|---|
| ID_Doc | 39381 |
| Authors | Hundera, NW; Jin, CJ; Aftab, MU; Mesfin, D; Kumar, S |
| Title | Secure outsourced attribute-based signcryption for cloud-based Internet of Vehicles in a smart city |
| Year | 2021 |
| Published | Annals Of Telecommunications, 76, 9-10 |
| Abstract | The rapid growth of wireless communication and sensing technology will lead to an Internet of Vehicles (IoV) that builds a large network with interactions among the vehicles, roadside infrastructure, and the surrounding environment. This will allow a large amount of data to be gathered from vehicles through IoV nodes. On the other hand, the cloud provides on-demand computing resources and self-service. Therefore, the vast amounts of data collected by the IoV can be deployed to the cloud, and an authorized user can access it anytime from anywhere via the Internet. However, privacy and authorized access of data are the main issues for the data stored in the cloud. To deal with the security issues in a cloud environment, an attribute-based signcryption (ABSC) was presented that provides confidentiality, authenticity, and sender secrecy of the data stored in the cloud. However, an extensive amount of modular exponential operations and pairing incur an unfavorable computational overhead during the signcryption and key-distributing process in ABSC. To deal with the above challenges, we present a novel secure outsourced attribute-based signcryption for a cloud-based Internet of Vehicles in a smart city (SOABSC-IoV). The proposed scheme provides data confidentiality, data authentication, and key issuing and decreases the signcryption computational load in ABSC. Furthermore, this work reduces the computational load at the IoV node and the authorized user's side by outsourcing the signcryption and unsigncryption algorithms. Finally, the experimental results demonstrate that our scheme is highly appropriate for cloud and IoV environments and has a lower computational complexity than the existing schemes. |
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