國立虎尾科技大學 |

Game Theory Principals for Decision-Making in Cybersecurity.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Game Theory Principals for Decision-Making in Cybersecurity./
作者:	Adeniyi, Hammed.
面頁冊數:	1 online resource (44 pages)
附註:	Source: Masters Abstracts International, Volume: 56-04.
標題:	Information science. -
電子資源:	click for full text (PQDT)
ISBN:	9781369762891

Game Theory Principals for Decision-Making in Cybersecurity.
Adeniyi, Hammed.

Game Theory Principals for Decision-Making in Cybersecurity. - 1 online resource (44 pages)

Source: Masters Abstracts International, Volume: 56-04.

Thesis (M.S.)--Utica College, 2017.

Includes bibliographical references

Complexities of network intrusion behaviors require a scientific approach where a decision can be quickly quantified, adapted, and applied to attributes of attackers and defenders of systems. Quantitative methods such as Game Theory provide a way to analyze issues, behaviors, and interactions amongst attackers and defenders of the network. Analysts need detailed analysis models that provide deep understanding, prioritization of cyber activities, evaluation of security vulnerabilities/threats/risks, and ability to predict behaviors. Once the behaviors are determined, then an automated action is enacted to countermeasure network intrusion/disruption. As the process is automated and looped back, a learned behavior model is created. This learned behavior becomes the basis for a continuous self-improving decision making network security system.Many factors lead to organizational decision making policies for network security. These factors stem from a root complexity of limited resource allocation and organization's ability to prioritize the range, scale, and profile of unknown attack attributes. Decision roadblocks are greater amongst entities with insufficient resources, which are used to manage threats and activities to reduce network vulnerabilities. As for results, many network security platforms lack the decision capabilities to match adversaries changing behavioral patterns. This research will be used to analyze the application of game theory methods on cybersecurity decision making.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369762891Subjects--Topical Terms:

561178
Information science.
Index Terms--Genre/Form:

554714
Electronic books.

Game Theory Principals for Decision-Making in Cybersecurity.
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502 $a Thesis (M.S.)--Utica College, 2017.
504 $a Includes bibliographical references
520 $a Complexities of network intrusion behaviors require a scientific approach where a decision can be quickly quantified, adapted, and applied to attributes of attackers and defenders of systems. Quantitative methods such as Game Theory provide a way to analyze issues, behaviors, and interactions amongst attackers and defenders of the network. Analysts need detailed analysis models that provide deep understanding, prioritization of cyber activities, evaluation of security vulnerabilities/threats/risks, and ability to predict behaviors. Once the behaviors are determined, then an automated action is enacted to countermeasure network intrusion/disruption. As the process is automated and looped back, a learned behavior model is created. This learned behavior becomes the basis for a continuous self-improving decision making network security system.Many factors lead to organizational decision making policies for network security. These factors stem from a root complexity of limited resource allocation and organization's ability to prioritize the range, scale, and profile of unknown attack attributes. Decision roadblocks are greater amongst entities with insufficient resources, which are used to manage threats and activities to reduce network vulnerabilities. As for results, many network security platforms lack the decision capabilities to match adversaries changing behavioral patterns. This research will be used to analyze the application of game theory methods on cybersecurity decision making.
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538 $a Mode of access: World Wide Web
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