Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306160938> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W4306160938 endingPage "100128" @default.
- W4306160938 startingPage "100128" @default.
- W4306160938 abstract "• Multiple methods are provided for predicting the occurrence of a data breach • Probability distribution of a data breach could be used for information risk assessment • Predicting the size of data breaches in terms of the number of personal records involved is more challenging The problem of data breach incidents is prevalent in the media and has attracted the attention of researchers and practitioners working diligently on solutions. Commercial entities, non-profit organizations, and government agencies that obtain, process, and store personal or business-related information face the risks of the breach of client personal information and organizational intellectual property, which can result in legal, reputational, and financial damages. This study aims to estimate the probability of the occurrence of a breach and its size using a predictive model with historical data as input. We used a dataset of all reported data breaches in the U.S. collected by Privacy Rights Clearinghouse (PRC). The results show that the trend of data breaches has not been increasing despite all the attention and warnings. Our Poisson and Negative binomial models proved promising and can predict data breach incidents with low deviance from actual numbers." @default.
- W4306160938 created "2022-10-14" @default.
- W4306160938 creator A5021218694 @default.
- W4306160938 creator A5055632530 @default.
- W4306160938 date "2022-11-01" @default.
- W4306160938 modified "2023-09-27" @default.
- W4306160938 title "Predicting the Occurrence of a Data Breach" @default.
- W4306160938 cites W1495768301 @default.
- W4306160938 cites W1533444565 @default.
- W4306160938 cites W2081290035 @default.
- W4306160938 cites W2322673779 @default.
- W4306160938 cites W2417915283 @default.
- W4306160938 cites W2549550143 @default.
- W4306160938 cites W2565682512 @default.
- W4306160938 cites W2591887805 @default.
- W4306160938 cites W2784070037 @default.
- W4306160938 cites W2849214662 @default.
- W4306160938 cites W2951758218 @default.
- W4306160938 cites W2990427812 @default.
- W4306160938 cites W3043801573 @default.
- W4306160938 cites W3046225563 @default.
- W4306160938 cites W3168481646 @default.
- W4306160938 cites W3200951378 @default.
- W4306160938 cites W3214761064 @default.
- W4306160938 cites W4211241631 @default.
- W4306160938 cites W4220734817 @default.
- W4306160938 cites W4243367167 @default.
- W4306160938 doi "https://doi.org/10.1016/j.jjimei.2022.100128" @default.
- W4306160938 hasPublicationYear "2022" @default.
- W4306160938 type Work @default.
- W4306160938 citedByCount "5" @default.
- W4306160938 countsByYear W43061609382023 @default.
- W4306160938 crossrefType "journal-article" @default.
- W4306160938 hasAuthorship W4306160938A5021218694 @default.
- W4306160938 hasAuthorship W4306160938A5055632530 @default.
- W4306160938 hasBestOaLocation W43061609381 @default.
- W4306160938 hasConcept C165609540 @default.
- W4306160938 hasConcept C38652104 @default.
- W4306160938 hasConcept C41008148 @default.
- W4306160938 hasConceptScore W4306160938C165609540 @default.
- W4306160938 hasConceptScore W4306160938C38652104 @default.
- W4306160938 hasConceptScore W4306160938C41008148 @default.
- W4306160938 hasIssue "2" @default.
- W4306160938 hasLocation W43061609381 @default.
- W4306160938 hasLocation W43061609382 @default.
- W4306160938 hasLocation W43061609383 @default.
- W4306160938 hasOpenAccess W4306160938 @default.
- W4306160938 hasPrimaryLocation W43061609381 @default.
- W4306160938 hasRelatedWork W2040407914 @default.
- W4306160938 hasRelatedWork W226535103 @default.
- W4306160938 hasRelatedWork W2358668433 @default.
- W4306160938 hasRelatedWork W2376932109 @default.
- W4306160938 hasRelatedWork W2390279801 @default.
- W4306160938 hasRelatedWork W2737196623 @default.
- W4306160938 hasRelatedWork W2748952813 @default.
- W4306160938 hasRelatedWork W2899084033 @default.
- W4306160938 hasRelatedWork W2929585781 @default.
- W4306160938 hasRelatedWork W3038348450 @default.
- W4306160938 hasVolume "2" @default.
- W4306160938 isParatext "false" @default.
- W4306160938 isRetracted "false" @default.
- W4306160938 workType "article" @default.