Developing a trust model for pervasive computing based on Apriori association rules learning and Bayesian classification

Pervasive computing is one of the latest and more advanced paradigms currently available in the computers arena. Its ability to provide the distribution of computational services within environments where people live, work or socialize leads to make issues such as privacy, trust and identity more ch...

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Vydáno v:	Soft computing (Berlin, Germany) Ročník 21; číslo 21; s. 6297 - 6315
Hlavní autoři:	D’Angelo, Gianni, Rampone, Salvatore, Palmieri, Francesco
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2017 Springer Nature B.V
Témata:	Access control Algorithms Artificial Intelligence Behavior Computational Intelligence Computer architecture Computers Control Data mining Decision making Engineering Explicit knowledge Machine learning Mathematical Logic and Foundations Mechatronics Methodologies and Application Personal information Privacy Robotics Trust Trustworthiness Ubiquitous computing Wireless communications Pervasive computing Apriori algorithm Naïve Bayes classifier Artificial intelligence Trust model
ISSN:	1432-7643, 1433-7479
On-line přístup:	Získat plný text
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