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Τύπος: Άρθρο σε επιστημονικό περιοδικό
Τίτλος: StoRM: A social agent-based trust model for the internet of things adopting microservice architecture
Συγγραφέας: [EL] Κραβάρη, Καλλιόπη[EN] Kravari, Kalliopisemantics logo
[EL] Βασιλειάδης, Νικόλαος[EN] Bassiliades, Nicksemantics logo
Ημερομηνία: Μαρ-2019
Περίληψη: Over the last years, the Internet of Things attracted much attention mainly due to its potential to change our daily life. It attempts to create a world where everyone and everything will be connected while knowledge will be diffused effortlessly. Yet, this open, distributed and heterogeneous environment raises important challenges, such as intelligence and trustworthiness. Intelligent Agents can deal with these challenges since they form an alternative to traditional interactions among people and objects while, at the same time, they are involved in a rich research effort regarding trust management. Additionally, intelligent agents seem able to deal with potential societal impacts and relationships, although they are not primary social networks, as well as the heterogeneity in the Internet of Things when combined with novel approaches such as the microservice architecture. To this end, this article proposes a novel, reputation oriented, trust model, called StoRM, for the Internet of Things that combines social dimensions and microservice architecture with agent technology. StoRM is based on well-established estimation parameters while it provides a reputation estimation mechanism based on social principles. Additionally, it proposes the use of microservices combined with learning and adoption properties facilitating the implementation of the agent-based system and the trust establishment among its members. Furthermore, it adopts a distributed locating mechanism based on social graphs and peer-to-peer networks. StoRM combining a set of features is able to address many of the challenges of trust management in the Internet of Things while it is one of the first approaches that involve the microservice architecture in a trust management model. Finally, a multi-agent simulation is presented that illustrates the viability of the proposed approach.
Γλώσσα: Αγγλικά
Τόπος δημοσίευσης: Thessaloniki, Greece
Σελίδες: 17
DOI: https://doi.org/10.1016/j.simpat.2019.03.008
ISSN: 1569-190X
Θεματική κατηγορία: [EL] Τεχνητή νοημοσύνη[EN] Artificial Intelligencesemantics logo
Λέξεις-κλειδιά: Multi-agent Systems,Internet of ThingsAgent-Based ModelTrustworthinessSocial CriteriaMicroservice Architecture
Κάτοχος πνευματικών δικαιωμάτων: © 2019 Elsevier B.V. All rights reserved.
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: https://www.sciencedirect.com/science/article/abs/pii/S1569190X19300322
Ηλεκτρονική διεύθυνση περιοδικού: https://www.sciencedirect.com/journal/simulation-modelling-practice-and-theory
Τίτλος πηγής δημοσίευσης: Simulation Modelling Practice and Theory
Τεύχος: July 2019
Τόμος: 94
Σελίδες τεκμηρίου (στην πηγή): 286–302
Εμφανίζεται στις συλλογές:Μεταδιδακτορικοί ερευνητές

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