Journal
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Volume 22, Issue 8, Pages 5168-5177Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2020.3040989
Keywords
Cloud computing; Computational modeling; Computer architecture; Blockchain; Internet of Things; Edge computing; Data models; Internet of Things; cloud computing; mist computing; software defined networking; blockchain
Categories
Funding
- National Research Foundation of Korea (NRF) - Korea government [NRF-2019R1A2B5B01070416]
Ask authors/readers for more resources
Conventional centralized architectures struggle with the exponential growth of IoT devices in Intelligent Transportation Systems, leading to the proposal of a secure distributed mist computing network architecture leveraging blockchain technology. Experimental analysis revealed an 81% reduction in median latency at local nodes, indicating the model's effective performance across various ITS applications.
Conventional centralized architectures are sufficiently educated to provide high scalability, availability, and low latency and bandwidth usages for the Internet of Things (IoT) network. The exponential increase in volume and number of IoT devices in Intelligent Transportation Systems (ITS) turns our physical world into the cyber world. Security and privacy in the ITS network have become the main concern. To address these issues and challenges, a secure distributed mist computing network architecture for ITS is proposed by leveraging the features of blockchain technology. In this model, we present IoT user/device registration and authentication algorithms and enable the computing resources at the extreme edge of the network by deploying a smart contract. The proposed model uses an aggregate signature scheme to generate a signature for multiple IoT devices. To evaluate the proposed model, we performed an experimental analysis based on various performance measures. The proposed model gains 81% of lower median latency at local nodes compared to the core model. The result shows that the model performed effectively and a suitable solution for various ITS applications.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available