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Quantitative Risk Assessment and Security Framework for Vanet Systems

Anubhav Kumar1,

1Research Scholar, Department of Computer Science and Applications

Faculty of Management and Commerce

Baba Mastnath University, Asthal Bohar, Rohtak, Haryana

Dr. Devender Kumar2

2 Professor, Department of Computer Science and Applications

Faculty of Management and Commerce

Baba Mastnath University, Asthal Bohar, Rohtak, Haryana

ABSTRACT

Vehicular Ad Hoc Networks (VANETs) are a critical component of intelligent transportation systems, enabling real-time communication between vehicles and infrastructure. However, their dynamic topology, high mobility, and decentralized nature expose them to significant risks and security challenges. This study develops a quantitative risk assessment and security framework for VANET systems, integrating statistical modeling, simulation-based analysis, and security metrics to evaluate vulnerabilities such as Sybil attacks, denial-of-service, and data falsification. By quantifying risk levels and mapping them against security countermeasures, the framework provides a structured approach to assess system resilience. The results highlight the importance of combining cryptographic techniques, trust management, and intrusion detection with quantitative risk modeling to ensure robust VANET security.

Keywords: Vehicular Networks, Risk Analysis, Security Analysis etc.