Abstract
The paper proposes a new methodology to measure cyber risks which, instead of
using quantitative loss data, often not available, employs ordinal data. The method
relies on the construction of a criticality index, whose properties are discussed and
compared with alternative measures employed in operational risk measurement. The
methodology is illustrated on data regarding cyber attacks collected at the worldwide
level.Theproposedmeasureisfoundtobequiteeffectivetorankcyberrisktypes.Thus,
from a policy perspective, it can be useful to guide the implementation of preventive
actions.
Lingua originale | English |
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pagine (da-a) | 173-185 |
Numero di pagine | 13 |
Rivista | STATISTICAL METHODS & APPLICATIONS |
Volume | 29 |
DOI | |
Stato di pubblicazione | Pubblicato - 2020 |
Keywords
- Criticality index
- Cyber attacks
- Operational risk
- Ordinal data modelling