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@article{201505,
        author = {R. Nithin Reddy and Venkata Surya and Suraj Nadagoudra and Aadith Sugeesh and Saikumar K Joshi and Saniya Abid Kanza},
        title = {Privacy Intrusion Detection System: A Real-Time Behavior-Based Approach for User-Centric Endpoint Protection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {4136-4143},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201505},
        abstract = {The proliferation of applications with extensive system permissions has raised severe privacy concerns for end users. Traditional antivirus and intrusion detection systems rely primarily on signature-based techniques, failing to identify novel threats or the misuse of legitimate permissions. This paper presents the design, implementation, and evaluation of a Privacy Intrusion Detection System (PIDS)—a lightweight, real time security solution that monitors and controls access to sensitive resources such as webcams, microphones, file systems, and network interfaces. PIDS employs behavior-based analysis to detect anomalous application activities and provides a graphical user interface (GUI) that empowers users with actionable decisions: allow, block, or ignore. The system continuously audits running processes, correlates resource-access patterns with predefined normal behavior profiles, and generates instant alerts for suspicious events. All activities are logged in a structured database for forensic analysis. Experimental evaluation using a prototype deployed on Windows environments demonstrates high detection accuracy for unauthorized camera/microphone access, low false positive rates, and minimal performance overhead. The PIDS GUI version bridges the gap between real time threat detection and user awareness, offering a comprehensive privacy defense mechanism for modern computing environments.},
        keywords = {Privacy intrusion detection, behavior-based monitoring, endpoint security, camera/microphone protection, user centric alerting, forensic logging.},
        month = {May},
        }