Masters Theses

Abstract

"In this thesis, we address a new security problem in the realm of collaborating sensor networks. By collaborating sensor networks, we refer to the networks of sensor networks collaborating on a mission, with each sensor network is independently owned and operated by separate entities. Such networks are practical where a number of independent entities can deploy their own sensor networks in multi-national, commercial, and environmental scenarios, and some of these networks will integrate complementary functionalities for a mission. In the scenario, we address an authentication problem wherein the goal is for the Operator Oi of Sensor Network Si to correctly determine the number of active sensors in Network Si. Such a problem is challenging in collaborating sensor networks where other sensor networks, despite showing an intent to collaborate, may not be completely trustworthy and could compromise the authentication process. We propose two authentication protocols to address this problem. Our protocols rely on Physically Unclonable Functions, which are a hardware based authentication primitive exploiting inherent randomness in circuit fabrication. Our protocols are light-weight, energy efficient, and highly secure against a number of attacks. To the best of our knowledge, ours is the first to addresses a practical security problem in collaborating sensor networks."--Abstract, page iii.

Advisor(s)

Chellappan, Sriram

Committee Member(s)

Lin, Dan
Jiang, Wei

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Sponsor(s)

Sandia Corporation
United States. Department of Energy

Comments

This manuscript has been authored by Sandia Corporation under Contract No. DE-AC04-94AL85000 with the U.S. Department of Energy.

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2015

Pagination

ix, 23 pages

Note about bibliography

Includes bibliographical references (pages 20-22).

Rights

© 2015 Jake Uriah Bielefeldt, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Sensor networks -- Security measures
Authentication
Embedded computer systems -- Security measures

Thesis Number

T 10665

Electronic OCLC #

913478995

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