Secure Cloud-Storage-Based Big Data Analytics Scheme for Intelligent Vehicles Environment
Saurabh Agrawal, Prakash Tekchandani, Soumya Banerjee, Ashok Kumar Das, Shantanu Pal, Sachin S. Shetty · IEEE Internet of Things Journal · 2024
The Internet of Vehicles (IoV) is a system designed to enhance transportation efficiency and safety by facilitating communication and data exchange among vehicles, infrastructure, and other devices. In IoV, vehicles, roadside units (RSUs), and cloud servers (CSs) are interconnected for seamless communication and data exchange. However, sharing data among various IoV entities poses significant security threats, including privacy breaches, data manipulation, and unauthorized access. These threats can compromise personal information, cause system malfunctions, and endanger the safety of vehicle occupants and other road users. To address these challenges, this article proposes a secure transfer mechanism for data sharing among IoV entities and a framework for secure big data analytics, where the data collected from vehicles undergoes secure analysis at the big data analytics center. Experimental evaluation, along with security and performance analysis, demonstrates that the proposed approach ensures secure data transfer between IoV entities and secure big data analytics in the CS.