The first is an off-chain intrusion detection system that prioritizes speed, because in vehicular environments milliseconds matter.
The MLPNN’s role is to make the final judgment call: given a standardized, feature-enhanced snapshot of network traffic, is this communication legitimate or hostile?
Once the intrusion detection system identifies and verifies a security event, the framework’s blockchain layer takes over.
This design choice addresses one of the most underappreciated problems in vehicular security: evidentiary integrity.
Subject of Research: AI-powered intrusion detection and blockchain trust management for securing vehicular V2X wireless networks Article Title: Enhanced cyber security system for vehicular wireless network using AI-powered blockchain security structures based on intrusion detection systems Article References: Enhanced cyber security system for vehicular wireless network using AI-powered blockchain security structures based on intrusion detection systems.