Title
Intrusion Detection In Wireless Sensor Networks
Keywords
Intrusion detection; Sensor networks
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 pre-defined threshold indicates the presence 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.
Publication Date
12-1-2007
Publication Title
Proceedings of The 2007 International Conference on Security and Management, SAM'07
Number of Pages
10-16
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
62349116967 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/62349116967
STARS Citation
Nguyen, Hong N.; Palaniappan, Ravi; Aydin, Nevin; Jin, Shiyuan; and Turgut, Damla, "Intrusion Detection In Wireless Sensor Networks" (2007). Scopus Export 2000s. 6028.
https://stars.library.ucf.edu/scopus2000/6028