BIBLIOS

Document type
Journal articles

Document subtype
Full paper

Title
A Granular Risk Analysis Approach for IoT-Aware Business Processes

Participants in the publication
Pedro Bandeiras Cardoso (Author)
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA
FCIÊNCIAS.ID - ASSOCIAÇÃO PARA A INVESTIGAÇÃO E DESENVOLVIMENTO DE CIÊNCIAS
Ana Respício (Author)
Dep. Informática
LASIGE
Dulce Domingos (Author)
Dep. Informática

Summary
Business Processes (BPs) can use Internet of Things (IoT) devices to make decisions based on information about the environmental context and even to actuate on it. These IoT-aware BPs, when applied to critical systems, have to deal with different types of IoT device failures and their consequences. To address such scenarios, decision-makers can take advantage of risk assessment techniques to analyze the risk associated with BPs. Current proposals analyze risk at the process level without providing a more fine-grained perspective. This paper presents a risk analysis methodology that calculates the risk level of BPs following a (de)composition approach using the risk-related information of BP elements. Therefore, it supports decision-makers in identifying the groups of tasks that contribute the most to the overall BP risk. In addition, it provides information for analyzing the worst-case scenarios at different levels of BP granularity. This information allows process designers to adjust and improve BPs to meet the risk acceptance criteria.

Editor(s)
IEEE


Institution
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Where published
IEEE Access

Publication Identifiers
ISSN - 2169-3536

Publisher
Institute of Electrical and Electronics Engineers (IEEE)



Document Identifiers
DOI - https://doi.org/10.1109/access.2024.3455996
URL - http://dx.doi.org/10.1109/access.2024.3455996

Keywords
Decision making Internet of Things Business process management Risk management Scenario generation Measurement Business Computational modeling Mathematical models Quality of service