학술논문

BIDS: Blockchain-Enabled Intrusion Detection System in Smart Cities
Document Type
Periodical
Source
IEEE Internet of Things Magazine IEEE Internet Things M. Internet of Things Magazine, IEEE. 7(2):107-113 Mar, 2024
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Cloud computing
Smart cities
Road traffic
Intrusion detection
Real-time systems
Information and communication technology
Timing
Internet of Vehicles
Smart devices
Fake news
Traffic control
Traffic congestion
Mobile applications
Blockchains
Language
ISSN
2576-3180
2576-3199
Abstract
The Internet of Vehicles (IoV) plays a significant role in shaping smart cities by integrating vehicles, infrastructure, and information and communication technologies (ICT). IoV allows vehicles to connect and exchange information with each other and other smart devices contributing in shaping smart cities. IoV enables real-time data exchange between vehicles and traffic management systems. By collecting and analysing data on traffic flow, congestion, and road conditions, cities can optimize traffic signal timings, dynamically reroute vehicles, and provide drivers with real-time traffic updates. This improves traffic efficiency, reduces congestion, and enhances overall transportation systems. However, there is a risk that malicious vehicles may provide false information and interfere, or in the worst-case scenario, cause chaos on the roads. In order to address this issue, we propose a Blockchain-enabled intrusion detection system (BIDS) for the IoV network, in which vehicles share their mobility patterns with the traffic management system. BIDS formulates the mobility pattern of the vehicles in the form of blocks that are changed together. The blocks are validated and confirmed as the vehicle reaches the next location as claimed. Otherwise, the following blocks will become invalid and obviously will not be considered in the traffic management system. Our simulations show that the BIDS method can detect up to 98% of malicious vehicles when only 5% of the vehicles are malicious, and up to 85% when 40% of the vehicles are malicious.