Modeling attribution of cyber attacks using Bayesian belief networks/ Munish Sharma
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TextPublication details: 2021Subject(s): Online resources:
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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.
| 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 |
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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