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A Novel Mechanism for Misbehavior Detection in Vehicular Networks

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Author(s):
Valentini, Edivaldo Pastori ; Rocha Filho, Geraldo Pereira ; De Grande, Robson Eduardo ; Ranieri, Caetano Mazzoni ; Pereira Junior, Lourenco Alves ; Meneguette, Rodolfo Ipolito
Total Authors: 6
Document type: Journal article
Source: IEEE ACCESS; v. 11, p. 14-pg., 2023-01-01.
Abstract

Intelligent Transport Systems (ITS) have provided new technologies to protect human life, speed up assistance, and improve traffic, to aid drivers, passengers, and pedestrians. Vehicular Ad-hoc Networks (VANET) are the fundamental elements in an ITS ecosystem. However, its characteristics make the system susceptible to numerous attacks, such as Denial of Service (DoS). In this paper, we proposed a security system based on intrusion detection called Detection of Anomalous Behaviour in Smart Conveyance Operations (DAMASCO). We used a statistical approach to detect anomalies in vehicle-to-vehicle communication (V2V). The anomaly detection module addresses the Medium Access Control (MAC) sublayer to assess the number of packages sent to identify potentially malicious nodes, block their activity, and maintain a reputation list. The algorithm calculates the Median Absolute Deviation (MAD) to identify outliers and characteristics of DoS. Our experiments were performed in a simulated environment using a realistic urban mobility model. The results demonstrate that the proposed security system achieved a 3% false positive rate and no false negatives. (AU)

FAPESP's process: 21/06210-3 - Urban spaces-aware services via federated learning in intelligent transport systems
Grantee:Geraldo Pereira Rocha Filho
Support Opportunities: Regular Research Grants
FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 20/07162-0 - Services for an intelligent transport system
Grantee:Rodolfo Ipolito Meneguette
Support Opportunities: Regular Research Grants
FAPESP's process: 21/10921-2 - Image processing for flood detection and prediction
Grantee:Caetano Mazzoni Ranieri
Support Opportunities: Scholarships in Brazil - Post-Doctoral