Content area

Abstract

Cyberattacks continue to happen due to the evolution of technology, vulnerabilities in systems, human error, the potential of significant financial gain for unauthorized users/hackers, and the relative ease of launching attacks through readily available tools and knowledge. The reviewed literature highlighted the significance of the unknown areas centering around unauthorized users accessing routers. This exploratory qualitative study identified the underlying causes of gaining access that allow unauthorized users to acquire sensitive information from routers in large corporations with over 2000 employees. A sample size of 9 participants from across the United States completed eleven open-ended questions via Zoom virtual interviews. The participants provided their experiences with security breaches, factors surrounding these breaches, and security tools for detecting threats. The research found that the underlying causes were vulnerabilities, stolen credentials, misconfigurations, lack of education of security tools and best practices, complacency of employees, weak passwords, unpatched systems, phishing attacks, outdated network equipment or infrastructure, and cyber attacks (distributed denial of service (DDOS), malware, rootkits, and trojan horses). The future needs to conduct case studies on how the underlying causes hinder a company/organization from properly securing their network and how not securing network devices such as routers impacts a company or organization.

Details

1010268
Title
Network Security: A Qualitative Study Uncovering the Leading Causes of Unauthorized User Access to Routers
Number of pages
99
Publication year
2025
Degree date
2025
School code
1271
Source
DAI-B 87/5(E), Dissertation Abstracts International
ISBN
9798265409461
Committee member
Butler, Jeffrey; Kost, Charles
University/institution
Colorado Technical University
Department
Computer Science
University location
United States -- Colorado
Degree
D.C.S.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
32278571
ProQuest document ID
3273639227
Document URL
https://www.proquest.com/dissertations-theses/network-security-qualitative-study-uncovering/docview/3273639227/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
ProQuest One Academic