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Virginia Tech

Cybersecurity Management System: Defense and Response

Abstract

dc:description.abstract

Cybersecurity attacks such as phishing, malware, and ransomware have become a major concern in recent years, with many individuals and organizations suffering financial losses as a result. Most people are unaware of the different types of cybersecurity attacks and have not seen examples of them. To address this problem, we developed the Cybersecurity Management System: Defense and Response (CMSDR) cloud software application. It provides both the "Defense" and "Response" to cybersecurity attacks, with educational materials and examples to help users learn about different types of cybersecurity attacks, and a computer-aided reporting and notification system to help organizations respond to ongoing incidents. CMSDR is a universal application that can be used on any platform with a web browser. Any company or organization can effectively run CMSDR on their own server computer for cybersecurity defense and response.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Computer Science and Applications
Department dc:contributor.department
Computer Science and Applications
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Huang, Chenxiang
Chair dc:contributor.committeechair
  • Balci, Osman
Committee members dc:contributor.committeemember
  • Barkhi, Reza
  • Seyam, Mohammed Saad Mohamed Elmahdy

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:36161
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/113291

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Huang, Chenxiang. Cybersecurity Management System: Defense and Response. masters thesis, Virginia Tech, 2023. http://hdl.handle.net/10919/113291