Buscar
Mostrando ítems 1-10 de 16
Artículo
Blockchain‑based federation of wireless sensor nodes
(Springer, 2021)
Wireless sensor networks (WSNs), as an integral part of most Internet of Things (IoT) devices, are currently proliferating providing a new paradigm of emerging technologies. It is estimated that the number of globally ...
Artículo
Feature models to boost the vulnerability management process
(Elsevier Inc., 2023-01)
Vulnerability management is a critical and very challenging process that allows organisations to design a procedure to identify potential vulnerabilities, assess the level of risk, and define remediation mechanisms to ...
Artículo
Unleashing Constraint Optimisation Problem solving in Big Data environments
(Elsevier, 2020)
The application of the optimisation problems in the daily decisions of companies is able to be used for finding the best management according to the necessities of the organisations. However, optimisation problems imply ...
Artículo
ELI: an IoT-aware big data pipeline with data curation and data quality
(PeerJ, 2023)
The complexity of analysing data from IoT sensors requires the use of Big Data technologies, posing challenges such as data curation and data quality assessment. Not facing both aspects potentially can lead to erroneous ...
Artículo
Blockchain from the Perspective of Privacy and Anonymisation: A Systematic Literature Review
(MDPI, 2020)
The research presented aims to investigate the relationship between privacy and anonymisation in blockchain technologies on different fields of application. The study is carried out through a systematic literature review ...
Artículo
Feature models to boost the vulnerability management process
(Elsevier, 2022)
Vulnerability management is a critical and very challenging process that allows organisations to design a procedure to identify potential vulnerabilities, assess the level of risk, and define remediation mechanisms to ...
Artículo
Discovering configuration workflows from existing logs using process mining
(Springer, 2021)
Variability models are used to build configurators, for guiding users through the configuration process to reach the desired setting that fulfils user requirements. The same variability model can be used to design different ...
Artículo
DMN4DQ: when data quality meets DMN
(Elsevier, 2021)
To succeed in their business processes, organizations need data that not only attains suitable levels of quality for the task at hand, but that can also be considered as usable for the business. However, many researchers ...
Artículo
Data curation in the Internet of Things: A decision model approach
(Wiley, 2021)
Current Internet of Things (IoT) scenarios have to deal with many challenges especially when a large amount of heterogeneous data sources are integrated, that is, data curation. In this respect, the use of poor-quality ...
Artículo
Empowering conformance checking using Big Data through horizontal decomposition
(Elsevier, 2021)
Conformance checking unleashes the full power of process mining: techniques from this discipline enable the analysis of the quality of a process model through the discovery of event data, the identification of potential ...