This paper introduces the Microphone and Webcam Intrusion Detection and Control System (MWIDCS), a comprehensive cyber-physical security framework designed to protect personal computing devices against unauthorized microphone and webcam access. With the increasing proliferation of spyware, malicious software can covertly activate microphones and webcams to record sensitive information without user consent, leading to serious privacy breaches, identity theft, and blackmail. Most existing antivirus solutions rely on signature-based detection, which is ineffective against zero-day spyware and does not address physical misuse of unlocked systems or provide direct hardware-level control. MWIDCS employs a multi-layer defense mechanism that integrates AI-based process monitoring for anomaly detection, multi-factor biometric authentication using facial recognition and keystroke dynamics for user verification, and operating system–level hardware control to immediately restrict compromised peripherals. Upon detecting suspicious activity, the system captures forensic evidence in the form of images or videos, logs detailed activity records, and generates real-time alerts while securely uploading encrypted data to a protected cloud server. The primary contribution of this work lies in the integrated design of a unified endpoint security framework that coordinates intelligent anomaly detection, continuous biometric verification, and direct hardware enforcement within a single system, thereby enabling proactive protection of microphone and webcam resources against both digital espionage and physical intrusion threats.

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Microphone and Webcam Intrusion Detection and Control System

  • Abhinand S. Rajesh,
  • B. S. Arun Danashal,
  • E. Santhi Nisha

摘要

This paper introduces the Microphone and Webcam Intrusion Detection and Control System (MWIDCS), a comprehensive cyber-physical security framework designed to protect personal computing devices against unauthorized microphone and webcam access. With the increasing proliferation of spyware, malicious software can covertly activate microphones and webcams to record sensitive information without user consent, leading to serious privacy breaches, identity theft, and blackmail. Most existing antivirus solutions rely on signature-based detection, which is ineffective against zero-day spyware and does not address physical misuse of unlocked systems or provide direct hardware-level control. MWIDCS employs a multi-layer defense mechanism that integrates AI-based process monitoring for anomaly detection, multi-factor biometric authentication using facial recognition and keystroke dynamics for user verification, and operating system–level hardware control to immediately restrict compromised peripherals. Upon detecting suspicious activity, the system captures forensic evidence in the form of images or videos, logs detailed activity records, and generates real-time alerts while securely uploading encrypted data to a protected cloud server. The primary contribution of this work lies in the integrated design of a unified endpoint security framework that coordinates intelligent anomaly detection, continuous biometric verification, and direct hardware enforcement within a single system, thereby enabling proactive protection of microphone and webcam resources against both digital espionage and physical intrusion threats.