VIRTUALIZED PLATFORMS TO CONDUCT REMOTE SHIPBOARD TRAINING AND HANDS-ON READINESS ASSESSMENTS FOR CANES
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Authors
Holloway, Rashaunda
Frye, Eugene T.
Subjects
adaptive learning technology
virtual network
virtual training environment
network simulation
dynamic parameters
artificial intelligence
CANES
virtual network
virtual training environment
network simulation
dynamic parameters
artificial intelligence
CANES
Advisors
Bordetsky, Alex
Bergin, Richard D., IV
Date of Issue
2021-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Computer-based training used to teach and measure proficiency of Consolidated Afloat Networks and Enterprise Services (CANES) does not adequately train System Administrators (Sysadmins) to manage the challenges presented in “live” networks outside of the training environment. Currently, IT staff has no access to on-going education that is available remotely. IT staff are responsible for understanding and managing network fundamentals, identifying threats, mitigating vulnerabilities, and preventing and responding to cyber-attacks.
This thesis proposes that a delivery mechanism to provide additional hands-on training can offer a solution for IT administrators and improve their ability to respond during daily operations and training assessments. The main objective behind the research in this thesis is to help information system technicians who are depended upon to manage mission-critical networks. By better understanding the gaps these technicians face in training, coupled with current and emerging technology, we can begin to develop a plan of action to address these shortfalls. This thesis concludes that additional hands-on training through virtualization is vital in preparing Sailors to manage and operate CANES. Finally, investing more time and research into improving training models while focusing on the human element in training will ultimately result in ready and equipped Sailors to manage and protect mission-critical networks.
Type
Thesis
Description
Series/Report No
Department
Information Sciences (IS)
Information Sciences (IS)
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Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.