Abstract
Intelligent Transport Systems (ITS) require accurate information to be shared among vehicles and infrastructure nodes for applications including accident information or pre-crash warnings, to name a few. Due to its sensitive nature, ITS applications are vulnerable against data integrity attacks where nodes transmit false information that results in wrong decision making by the applications. A characteristic of such attacks is that the false transmitted information is significantly different than the actual information. In this paper, we propose an Outlier Detection, Prioritization and Verification (ODPV) protocol that efficiently isolates false data and improves traffic management decisions. ODPV uses the isolation forest algorithm to detect outliers, fuzzy logic to prioritize outliers and C-V2X communications to verify the outliers. Extensive simulation results verify the effectiveness of the proposed protocol to isolate the outliers.
Highlights
As the cities are expanded with the growing population, people frequently travel long distances for work and other purposes
If the Road Side Units (RSUs) considers the information by these outlier vehicles for traffic density estimation, it may result in erroneous traffic management decisions
PROPOSED ODPV PROTOCOL To mitigate data integrity attacks in Intelligent Transportation Systems (ITS), we propose an Outlier Detection, Prioritization and Verification (ODPV) protocol
Summary
As the cities are expanded with the growing population, people frequently travel long distances for work and other purposes. ITS applications are subject to data integrity attacks where malicious vehicles can transmit wrong information regarding surrounding vehicle density and emergency events [4], [14], [22]. This could badly impact safety applications as well as traffic management applications, resulting in wrong decision making by the applications. The sharing of wrong vehicle density information or the generation of false accident alarms can cause traffic congestion To mitigate such data integrity attacks, RSUs need to analyze the received data from the vehicles for potential accuracy.
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