H.N. Nguyen, R. Palaniappan, N. Aydin, S. Jin, and D. Turgut

Intrusion detection in wireless sensor networks


Cite as:

H.N. Nguyen, R. Palaniappan, N. Aydin, S. Jin, and D. Turgut. Intrusion detection in wireless sensor networks. In Proceedings of International Conference of Security and Management (SAM'07), pp. 10–16, 2007.

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Abstract:

There are several applications that use sensor motes and researchers continue to explore additional applications. For the intruder detection application, we use a set of Berkley mica2 motes on TinyOS operating system. Different types of sensors such as pressure, light, and so on can be used to identify the presence of an intruder in the field. In our case, we choose light sensors for the detection. When an intruder crosses the monitored environment, the system detects the changes on the light values. Any change greater than a predefined threshold indicates the pres- ence of an intruder. An integrated webcam is used to take snapshot of the intruder and transmit the pictures through the network to a remote station. The basic motivation of this paper is that a sensor-based web system can be used to detect any intruder in a specific area from a remote location.

BibTeX:

@inproceedings{Hong-2007-SAM,
    author = "H.N. Nguyen and R. Palaniappan and N. Aydin and S. Jin and D. Turgut",
    title = "Intrusion detection in wireless sensor networks",
    booktitle = "Proceedings of International Conference of Security and 
    Management (SAM'07)",
    pages = "10-16",
    year = "2007",
    abstract = {
       There are several applications that use sensor motes and researchers
       continue to explore additional applications. For the intruder detection
       application, we use a set of Berkley mica2 motes on TinyOS operating
       system. Different types of sensors such as pressure, light, and so on can
       be used to identify the presence of an intruder in the field. In our case,
       we choose light sensors for the detection. When an intruder crosses the
       monitored environment, the system detects the changes on the light
       values. Any change greater than a predefined threshold indicates the
       pres- ence of an intruder. An integrated webcam is used to take snapshot
       of the intruder and transmit the pictures through the network to a
       remote station. The basic motivation of this paper is that a sensor-based
       web system can be used to detect any intruder in a specific area from a
       remote location.
    },
}

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