Models and Techniques Analysis of Border Intrusion Detection Systems
Keywords:
intrusion detection techniques, wireless sensor network, detection models, dma, neural network, border security, network deployment
Abstract
This research paper sets out to explore various border intrusion detection systems but with emphasis on wireless sensor detection method. The system described in this paper relates to the detection of human beings in particular but also offers ways of detecting non-human intruders such as objects and animals. Thus, the study aims at ascertaining the intruder crossing a specified border or perimeter under surveillance before raising an alarm. It also looks forward to provide intrusion detection mechanisms for other forms of objects that are considered to be intruding to a specified perimeter. The application is being developed for border intrusion detection problems that are mainly focused on human and any other intruder. As such, the system will focus on all forms of intrusion including objects. There is also need for an intrusion detection system to ascertain the identity of the intruder.
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2015-05-15
Issue
Section
License
Copyright (c) 2015 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.