Content area

Abstract

As IoT devices emerge, security concerns have been raised by a lack of consistent security processes in different industries. The research peers into developing a unified IoT security standard to reduce weaknesses, improve the strength of security, protect privacy, and ensure data accuracy in various industries (healthcare, manufacturing, and essential services). By tackling the mixed security situation, this research offers a clear method for securing IoT systems.

The research builds and tests a unified standard framework using a custom-developed. The Comprehensive IoT Risk Evaluation and Simulation Algorithm (CIoT-RESA) tool simulates vulnerabilities and implements mitigation strategies by evaluating security risks and providing flexible countermeasures through probabilistic modeling and dataset analysis. The newest technologies (AI, ML, and blockchain) have allowed CIoT-RESA to provide real-time threat discovery, device validation, and data reliability.

The research examines how a viable unified security standard notably reduces the impact of digital attacks versus existing industry best practices. Through testing and evaluation, the experiment highlights the success of CIoT-RESA in safeguarding IoT networks against known security attacks (DDOS and MitM). The results indicate the need for standardized agreements, governing compliance, and industry collaboration efforts to reinforce the IoT ecosystem resilience. This research provides ongoing attempts to secure connected devices and option as a base for future transformation within IoT platform security.

Details

1010268
Title
Securing Emerging Technologies: Unified Security Standards for the Internet of Things (IoT)
Number of pages
112
Publication year
2025
Degree date
2025
School code
0075
Source
DAI-B 87/2(E), Dissertation Abstracts International
ISBN
9798290939896
Committee member
Vadel, Ould
University/institution
The George Washington University
Department
Cybersecurity Analytics
University location
United States -- District of Columbia
Degree
D.Engr.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
32172843
ProQuest document ID
3238251068
Document URL
https://www.proquest.com/dissertations-theses/securing-emerging-technologies-unified-security/docview/3238251068/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
ProQuest One Academic