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Modeling attribution of cyber attacks using Bayesian belief networks/ Munish Sharma

By:

SHARMA Munish

Material type: Text

TextPublication details: 2021Subject(s):

CYBER -- ATTACKS

Online resources:

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In: Strategic Analysis: Vol 45, No. 1, 2021, pp. 18-37 (26A)Summary: The focal point of the article is a three-step approach to model the decision-making process behind attribution of cyber-attacks using Bayesian Belief Networks and a case study to elucidate on the functioning of the model. Bayesian Belief Networks represent relationships between variables or multiple events and they are used to draw inference or estimate the probability to help decision-making under the conditions of uncertainty.

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Journal Article	Mindef Library & Info Centre Journals	CYBER (Browse shelf(Opens below))	1	Not for loan		66118-1001

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The focal point of the article is a three-step approach to model the decision-making process behind attribution of cyber-attacks using Bayesian Belief Networks and a case study to elucidate on the functioning of the model. Bayesian Belief Networks represent relationships between variables or multiple events and they are used to draw inference or estimate the probability to help decision-making under the conditions of uncertainty.

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