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Intrusion Detection In Wireless Sensor Networks

Abstract

dc:description.abstract

There are several applications that use sensor motes and researchers continue to explore additional applications. For this particular application of detecting the movement of humans through the sensor field, a set of Berkley mica2 motes on TinyOS operating system is used. Different sensors such as pressure, light, and so on can be used to identify the presence of an intruder in the field. In our case, the light sensor is chosen for the detection. When an intruder crosses the monitored environment, the system detects the changes of the light values, and any significant change meaning that a change greater than a pre-defined threshold. This indicates the presence of an intruder. An integrated web cam is used to take snapshot of the intruder and transmit the picture through the network to a remote station. The basic motivation of this thesis is that a sensor web system can be used to monitor and detect any intruder in a specific area from a remote location.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nguyen, Hong Nhung
Contributors dc:contributor
  • Turgut, Damla

Subjects

dc:subject × 5

Rights

Language dc:language
English

Identifiers

dc:identifier.*
Identifier
CFE0001027
OAI identifier oai:identifier
oai:stars.library.ucf.edu:etd-1899

Chain of custody

source
Harvested from
Central Florida
Base URL
stars.library.ucf.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Nguyen, Hong Nhung. Intrusion Detection In Wireless Sensor Networks. 2006. https://stars.library.ucf.edu/etd/900