Date of Award
2022
Degree Name
Computer Science
College
College of Engineering and Computer Sciences
Type of Degree
M.S.
Document Type
Thesis
First Advisor
Dr. Wook-Sung Yoo, Committee Chairperson
Second Advisor
Dr. Paulus Wahjudi
Third Advisor
Dr. Cong Pu
Abstract
Bridge inspection has a pivotal role in assuring the safety of critical structures constituting society. However, high cost, worker safety, and low objectivity of quality are classic problems in traditional visual inspection. Recent trends in bridge inspection have led to a proliferation of research utilizing Unmanned Aerial Vehicles (UAVs). This thesis proposes a Trusted Platform for Bridge Inspection Management System (Trusted-BIMS) for safe and efficient bridge inspection by proving the UAV-based inspection process and improving the prototype of the previous study. Designed based on a Zero-Trust (ZT) strategy, Trusted-BIMS consist of (1) a database-driven web framework with security features for bridge inspection management, (2) a mobile interface supporting the inspection data collection using UAVs, and (3) a mutual authentication protocol for the Internet of Things (IoTs). The server script language used to implement the web system was PHP and React Native was used for the mobile application development. The secure communication algorithm used server-side PHP and client-side JavaScript, and MySQL was adopted as the database. This paper provides an overview and details of Trusted-BIMS and demonstrates the overall process of bridge inspection using UAVs and applied technologies to the proposed platform. The result of this research will make an important contribution to the field of UAV-based bridge inspection. Further research can be conducted on refined implementations of security algorithms, more comprehensive security schemes, and machine learning technology to reduce human intervention.
Subject(s)
Bridges – Inspection – Technological innovations.
Computer security.
Internet of things.
Recommended Citation
Song, Hwapyeong, "A Trusted Platform for Unmanned Aerial Vehicle-Based Bridge Inspection Management System" (2022). Theses, Dissertations and Capstones. 1529.
https://mds.marshall.edu/etd/1529
Included in
Computer and Systems Architecture Commons, Electrical and Computer Engineering Commons, Engineering Science and Materials Commons