TY - GEN
T1 - Development of a Differential Evolution-based Fuzzy Cognitive Maps for Data Breach in Health-care Sector Fuzzy Cognitive Maps for Data Breach
AU - Ighravwe, Desmond Eseoghene
AU - Mashao, Daniel
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - The last three decades have witnessed an increased concern in data breaches. This problem is more pronounced in patients' health information (PHI) management. Previous researchers have reported the need to address this problem from a multi-criteria perspective; however, there is sparse information on how to use fuzzy logic to integrated PHI data breach criteria. This article, therefore, presents a fuzzy-based model, which is a fuzzy cognitive map, for a data breach in health-centres using organizational and human criteria. This model combines fuzzy logic, decision-makers' opinions and cognitive maps method. Decision-makers' opinions were analysis from optimistic, pessimistic and most likely perspectives. The performance of this model has evaluated three FCM data breach forecasting scenarios. And the results obtained showed that the model predicts PHI data breach under different multi-criteria conditions. This article has been able to shed insights into the application of a fuzzy cognitive map for data breach problem in health-care centres.
AB - The last three decades have witnessed an increased concern in data breaches. This problem is more pronounced in patients' health information (PHI) management. Previous researchers have reported the need to address this problem from a multi-criteria perspective; however, there is sparse information on how to use fuzzy logic to integrated PHI data breach criteria. This article, therefore, presents a fuzzy-based model, which is a fuzzy cognitive map, for a data breach in health-centres using organizational and human criteria. This model combines fuzzy logic, decision-makers' opinions and cognitive maps method. Decision-makers' opinions were analysis from optimistic, pessimistic and most likely perspectives. The performance of this model has evaluated three FCM data breach forecasting scenarios. And the results obtained showed that the model predicts PHI data breach under different multi-criteria conditions. This article has been able to shed insights into the application of a fuzzy cognitive map for data breach problem in health-care centres.
KW - Fuzzy cognitive maps
KW - data management
KW - differential evolution
KW - health-care sector
UR - http://www.scopus.com/inward/record.url?scp=85088366607&partnerID=8YFLogxK
U2 - 10.1109/AFRICON46755.2019.9134010
DO - 10.1109/AFRICON46755.2019.9134010
M3 - Conference contribution
AN - SCOPUS:85088366607
T3 - IEEE AFRICON Conference
BT - IEEE AFRICON 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE AFRICON, AFRICON 2019
Y2 - 25 September 2019 through 27 September 2019
ER -