| ID | 177282 |
| Title Proper | Modeling Attribution of Cyber Attacks Using Bayesian Belief Networks |
| Language | ENG |
| Author | Sharma, Munish |
| Summary / Abstract (Note) | The article makes an attempt to bring to the fore the various factors which are considered in the due process of attribution of a cyber-attack and the correlation of credible attribution with cyber deterrence. 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. |
| `In' analytical Note | Strategic Analysis Vol. 45, No.1; Jan-Feb 2021: p.18-37 |
| Journal Source | Strategic Analysis Vol: 45 No 1 |
| Key Words | Cyber Attack ; Modeling Attribution ; Bayesian Belief Networks |