An Iot And Ml-Based Hardware Model For Antitheft Protection Of Laptops

The Laptop theft is one of the most severe threats to intellectual property and data security in this modern world where most portable devices carry a huge amount of sensitive information. Most existing anti-theft solutions rely on software mechanisms and internet connectivity, making them vulnerable to tampering or powerdown scenarios. This paper introduces a next-generation Anti-Theft Protection Kit that incorporates IoT and ML technologies with hardware-based encryption for unparalleled security. Key features are GPS and SIM-based location tracking by Trilateration, data encryption by AES256, and ML-based anomaly detection for suspicious activities. In contrast to a normal system, this kit works autonomously and does not rely on the main system of the laptop; it will work even if the system is offline or compromised. The system also provides real-time monitoring through dashboards, scaling for multi-device settings, and provisions for future integrations such as blockchain and biometric security. Extensive testing has proven its efficiency and established the solution as a new approach to laptop security.