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Developing a Cybersecurity Assessmen...
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Scott, Otis David.
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Developing a Cybersecurity Assessment Neural-Network.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Developing a Cybersecurity Assessment Neural-Network./
作者:
Scott, Otis David.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
112 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-06, Section: B.
Contained By:
Dissertations Abstracts International80-06B.
標題:
Computer Engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13420349
ISBN:
9780438718944
Developing a Cybersecurity Assessment Neural-Network.
Scott, Otis David.
Developing a Cybersecurity Assessment Neural-Network.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 112 p.
Source: Dissertations Abstracts International, Volume: 80-06, Section: B.
Thesis (D.Engr.)--The George Washington University, 2019.
This item must not be added to any third party search indexes.
Cybersecurity is the foundation of technology that determines the resilience and protections of operations throughout the world. With the increase of innovation, the requirements for cybersecurity authorization and governance increases to mitigate the potential threats for malicious activities. Maintenance of a cybersecurity program to safeguard critical systems and infrastructure is a continuous organizational process. To mitigate the risk associated with data loss, corruption, or misuse, organizations must adopt innovation to balance resources and optimize security functions. In this Praxis, the author developed a continuous monitoring approach based on a neural network framework, dubbed the Security Continuous Monitoring Neural-Network, to automate the continuous monitoring functions found in the Risk Management Framework to improve operational scalability by reducing the impact of this function as part of effective cybersecurity program. The use of the Security Continuous Monitoring Neural-Network can augment an effective cybersecurity program to optimize organizational resources in support of the Risk Management Framework.
ISBN: 9780438718944Subjects--Topical Terms:
1567821
Computer Engineering.
Developing a Cybersecurity Assessment Neural-Network.
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Cybersecurity is the foundation of technology that determines the resilience and protections of operations throughout the world. With the increase of innovation, the requirements for cybersecurity authorization and governance increases to mitigate the potential threats for malicious activities. Maintenance of a cybersecurity program to safeguard critical systems and infrastructure is a continuous organizational process. To mitigate the risk associated with data loss, corruption, or misuse, organizations must adopt innovation to balance resources and optimize security functions. In this Praxis, the author developed a continuous monitoring approach based on a neural network framework, dubbed the Security Continuous Monitoring Neural-Network, to automate the continuous monitoring functions found in the Risk Management Framework to improve operational scalability by reducing the impact of this function as part of effective cybersecurity program. The use of the Security Continuous Monitoring Neural-Network can augment an effective cybersecurity program to optimize organizational resources in support of the Risk Management Framework.
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