An energy-efficient privacy-preserving framework for intrusion detection in the internet of vehicles

Key Points

• Improved privacy-preserving methods enhance intrusion detection effectiveness across IoV networks.
• Key metrics show significant energy savings while maintaining detection accuracy in various scenarios.
• Implementation leverages new algorithms that minimize resource consumption without compromising security.
• This approach highlights the growing need for solutions that ensure safety and efficiency in vehicle communications.