IoT-BASED INTEGRATED PRIVACY SENTINEL & ANTI-SURVEILLANCE SECURITY SYSTEM

The rapid growth of Internet of Things (IoT) technologies has significantly enhanced connectivity across smart homes, industries, and city infrastructures.However, the widespread availability of small surveillance devices such as hidden cameras, RF transmitters, and covert Wi-Fi modules presents major privacy concerns that conventional cybersecurity methods are unable to detect, as these tools operate at the physical layer.This document presents an IoT-based comprehensive privacy-protection and anti-surveillance security system that uses the ESP32 microcontroller for real-time wireless scanning, detection of irregularities, an OLED screen, and a local web interface for monitoring.The system performs Wi-Fi scanning within an 8-10-meter range, identifying hidden SSIDs, unusual RSSI patterns, and suspicious MAC addresses through threshold-based analysis.Indoor testing reveals a 94% success rate in detecting hidden SSIDs, 91% accuracy in identifying RSSI anomalies, and an average response time of less than three seconds.The results indicate that the proposed cyber-physical framework notably enhances situational awareness and enables the early identification of concealed wireless threats.The study demonstrates that integrating real-time wireless auditing with IoT systems can transform privacy from a passive concern into an actively verifiable security status.