Deployment Strategies and Mechanisms for Intrusion Detection In Wireless Sensor Networks

<p>Wireless Sensor Networks (WSNs) play a big role in many real life scenarios and are used in a wide range of applications. That includes military, industrial and civilian security and this requires stability, performance and affordability of WSNs. Deployment schemes of sensors play an important role in the design of WSN and contribute to improving its security. There are various deployment schemes that have their own strengths and weaknesses and each one suits best for a particular set of applications.</p><p>In this thesis, we focus particularly on “Intrusion Detection”, which is an application of WSNs. We study the existing deployment schemes such as Uniform, Gaussian and identify their strengths and limitations. We then propose two new deployment techniques called Hybrid Gaussian-Ring Deployment and Reverse Gaussian Deployment. Hybrid Gaussian-Ring offers better border protection and network connectivity, whereas Reverse Gaussian performs better in protecting multiple facilities located within the area protected by the WSN.</p><p>Subsequently, we study about Regular Deployment schemes, their applications and their differences from the probabilistic deployment schemes. These are more useful when the area of deployment of WSN is more accessible and non-hostile. We then analyze the performance of various regular deployment schemes and establish which of these is best suited for intrusion detection.</p>

Name thesis:degree_name

MS

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Engineering and Applied Science: Computer Science

Grantor dc:publisher

University of Cincinnati

Year dc:date

2012

Author dc:creator

• Katneni, Narendranad

Contributors dc:contributor

• Agrawal, Dharma

• Computer Science
• Wireless Sensor Networks
• Intrusion Detection
• Sensor Deployment
• Gaussian Deployment
• Regular Deployment
• Security

Statement dc:rights

• unrestricted
• This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.

Language dc:language

English

Repository record dc:identifier

http://rave.ohiolink.edu/etdc/view?acc_num=ucin1352403090

OAI identifier oai:identifier

oai:etd.ohiolink.edu:ucin1352403090