| 000 | 00876cam a2200133 4500 | ||
|---|---|---|---|
| 100 | 1 | _aSHARMA Munish | |
| 245 |
_aModeling attribution of cyber attacks using Bayesian belief networks/ _cMunish Sharma |
||
| 260 | _c2021 | ||
| 520 | _aThe 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. | ||
| 650 |
_aCYBER _x ATTACKS |
||
| 773 | _aStrategic Analysis: Vol 45, No. 1, 2021, pp. 18-37 (26A) | ||
| 856 |
_uhttps://doi.org/10.1080/09700161.2020.1870268 _z click for text |
||
| 945 |
_i66118-1001 _rY _sY |
||
| 999 |
_c40292 _d40292 |
||