Vehicle SIMULATOR & INTRUSION DETECTION
“Simulating vehicle as real world and detecting IDS with AI and rulesets.”
Our innovative vehicle simulation platform replicates real-world driving to rigorously test intrusion detection systems (IDS). By combining smart AI detection with customizable rule-based defenses, we deliver enhanced cybersecurity for connected vehicles. This ensures safer roads and builds trust in vehicle network security through realistic, data-driven threat detection.
About Project
We have developed a high-fidelity vehicle simulation framework that accurately models real-world driving dynamics and communication environments. This simulator serves as a testing ground for intrusion detection systems (IDS) by combining advanced AI-driven anomaly detection algorithms with rule-based security policies. The hybrid approach enables precise identification of malicious activities and network intrusions, enhancing the robustness and cybersecurity of connected and autonomous vehicles. The platform supports iterative validation of IDS performance under diverse attack scenarios and environmental conditions.
Key Works
vehicle simulation & IDS
Vehicle data point simulations for intrusion detection using applied AI.
Key Features of the IDS
- Hybrid Detection Mechanism: Combines AI-based anomaly detection with rule-based signatures for comprehensive threat identification.
- Real-Time Monitoring: Offers continuous surveillance of vehicle communication networks to detect intrusions as they occur.
- Adaptive Learning: Utilizes machine learning to improve detection accuracy over time by learning from new attack patterns.
- Low False Positives: Optimized algorithms reduce false alarms, ensuring reliable identification of genuine threats.
Role of the Vehicle Simulator
- Realistic Environment: Accurately simulates real-world vehicle dynamics, sensor data, and communication protocols.
- Attack Scenario Testing: Enables injection of varied cyberattack scenarios to evaluate IDS effectiveness.
- Performance Validation: Provides a controlled setting to validate and fine-tune IDS response under different conditions.
- Safety Assurance: Facilitates early detection of vulnerabilities, contributing to enhanced cybersecurity and safety in connected vehicles.
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Technology at heart, driven by passion.
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