Doctoral Dissertations
Keywords and Phrases
Blockchain; detection; Double-spending attack; IoT
Abstract
"Blockchain has recently been considered in the Internet of Things (IoT) to secure data exchanges and storage across various engineering applications. This newly emerging blockchain-aided IoT (BIoT) network has been applied to a great deal of security-related applications. However, the BIoT still has the vulnerability that can be exploited by attackers, potentially impairing the performance of BIoT applications. Despite this, research addressing the vulnerability has been limited. This work presents four studies aimed at addressing critical gaps in current BIoT research.
The first study introduces a Time-Restricted Double-Spending Attack (TR-DSA) model for Proof-of-Work (PoW)-based blockchains, where the adversary only conducts the DSA within a finite timeframe. This model is well-suited for BIoT applications with time-sensitive tasks. A closed-form expression for the success probability of a TR-DSA is derived, aiding in precise risk assessment of the DSA in BIoT applications. The second study explores distributed detection in the BIoT, considering attacks exploiting the vulnerability of the IoT devices and the employed blockchain. A performance guarantee for the BIoT detection network (BIoT-DN) in the presence of attacks that jointly exploit both the vulnerability of the IoT devices and the employed blockchain is developed. The third study further develops necessary and sufficient conditions for blinding the BIoT-DN, i.e., making the BIoT-DN completely incapable of making a reliable decision even with an infinite amount of data for the detection task. These conditions demonstrate how to prevent the BIoT-DN from being blinded, and hence, provide useful guidelines for forestalling attacks that attempt to paralyze BIoT-DN applications in practice. The fourth study analyzes the expected profit of a TR-DSA with the aid of other coexisting attacks. Closed-form expressions for the success probability of a TR-DSA and the expected profit of a TR-DSA are provided, offering insights into configuring blockchain parameters to mitigate DSA risks and strengthen network security"-- Abstract, p. iv
Advisor(s)
Zhang, Jiangfan
Committee Member(s)
Jagannathan, Sarangapani, 1965-
Choi, Minsu
Luo, Tony T.
Hu, Wenqing
Department(s)
Electrical and Computer Engineering
Degree Name
Ph. D. in Electrical Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2025
Pagination
x, 210 pages
Note about bibliography
Includes_bibliographical_references_(pages 39, 92, 142, 191 and 198-208)
Rights
©2024 Yiming Jiang , All Rights Reserved
Document Type
Dissertation - Open Access
File Type
text
Language
English
Thesis Number
T 12461
Recommended Citation
Jiang, Yiming, "Selected Topics In Blockchain-Aided Iot Inference" (2025). Doctoral Dissertations. 3360.
https://scholarsmine.mst.edu/doctoral_dissertations/3360
