Detect Human Intrusions in a PIR Sensor Network

Source Code for the Intrusion Detection Algorithm & Analytical Modeling of PIR Sensor
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Actualizado 19 mar 2016

Human-Intrusion-Detect

Source Code for the Intrusion Detection Algorithm & Analytical Modeling of PIR Sensor. IntrusionDetectionAlgorithm.c implements the online phasse of Intrusion Detection Algorithm (shown in Figure below).

We suggest the user refer to the publication/masters thesis for implementation details.

Please feel free to use the code in your research and development works. We would appreciate a citation to the paper below when this code is helpful in obtaining results in your future publications.

Publication for citation:
(1) Abu Sajana R*., R. Subramanian*, P. Vijay Kumar, Syam Krishnan, Bharadwaj Amrutur, Jeena Sebastian, Malati Hegde, S. V. R. Anand, "A Low-Complexity Algorithm for Intrusion Detection in a PIR-Based Wireless Sensor Network," In 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pages 337–342, Dec 2009.

(2) The SmartDetect WSN Team, "SmartDetect: An efficient WSN implementation for intrusion detection," Communication Systems and Networks (COMSNETS), 2010 Second International Conference on, Bangalore, 2010, pp. 1-2.

Please find my masters thesis here and my thesis defense slides here.

A Low-Complexity Algorithm for Intrusion Detection in a PIR-Based Wireless Sensor Network
• Investigated the problem of detecting a human intruder in the presence of clutter arising from wind-blown vegetation in a passive infra-red (PIR) based wireless sensor network (WSN).
• Proposed a low-complexity algorithm based on a combination of Haar Transform (HT) and Support Vector Machine (SVM) based training. Extensive field testing of the algorithm was done. The algorithm exhibited a very good performance.

Analytical Model For Intruder Signature
• Goal was to come up with a model for the intruder signature.
• Provided a closed-form expression for a good approximation to the intruder waveform.
• Developed, for the first time in literature, a model for the PIR sensor’s signature.
• Used this to determine how to optimally place multiple sensing nodes so as to estimate the path of the intruder in motion.

Citar como

Ram Subramanian (2024). Detect Human Intrusions in a PIR Sensor Network (https://github.com/linux-ram/Human-Intrusion-Detect), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2012a
Compatible con cualquier versión
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Versión Publicado Notas de la versión
1.0.1

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1.0.0

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Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.