Models and Techniques Analysis of Border Intrusion Detection Systems

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Models and Techniques Analysis of Border Intrusion Detection Systems

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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.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mosad Alkhathami, Ali Elkateeb, Lubna Alazzawi. 2015. "Models and Techniques Analysis of Border Intrusion Detection Systems". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 15 (GJRE Volume 15 Issue F7).

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-F Classification FOR Code: 290901p
Version of record

v1.2

Issue date
October 17, 2015

Language
English
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Models and Techniques Analysis of Border Intrusion Detection Systems

Mosad Alkhathami
Mosad Alkhathami University of Michigan
Ali Elkateeb
Ali Elkateeb <p>University of Michigan</p>
Lubna Alazzawi
Lubna Alazzawi <p>University of Michigan</p>