Doctoral Dissertations
Keywords and Phrases
DoS attack detection; Localization; Wireless network
Abstract
"Wireless ad hoc network operates without any fixed infrastructure and centralized administration. It is a group of wirelessly connected nodes having the capability to work as host and router. Due to its features of open communication medium, dynamic changing topology, and cooperative algorithm, security is the primary concern when designing wireless networks. Compared to the traditional wired network, a clean division of layers may be sacrificed for performance in wireless ad hoc networks. As a result, they are vulnerable to various types of attacks at different layers of the protocol stack. In this paper, I present real-time series data analysis solutions to detect various attacks including in- band wormholes attack in the network layer, various MAC layer misbehaviors, and jamming attack in the physical layer. And, I also investigate the problem of node localization in wireless and sensor networks, where a total of n anchor nodes are used to determine the locations of other nodes based on the received signal strengths. A range-based machine learning algorithm is developed to tackle the challenges"--Abstract, page iii.
Advisor(s)
Cheng, Maggie Xiaoyan
Committee Member(s)
Lin, Dan
Erçal, Fikret
Silvestri, Simone
Crow, Mariesa
Department(s)
Computer Science
Degree Name
Ph. D. in Computer Science
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2017
Pagination
x, 98 pages
Note about bibliography
Includes bibliographic references (pages 91-97).
Rights
© 2017 Yi Ling, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Thesis Number
T 11494
Electronic OCLC #
1104294505
Recommended Citation
Ling, Yi, "Data analytics methods for attack detection and localization in wireless networks" (2017). Doctoral Dissertations. 2745.
https://scholarsmine.mst.edu/doctoral_dissertations/2745