Semantic Knowledge Management and Blockchain-based Privacy for Internet of Things Applications

• Autorzy: Lamri Manal , Sabri Lyazid

Identyfikatory

DOI

10.26636/jtit.2022.161522

• Języki publikacji: EN

Abstrakty

EN

Design of distributed complex systems raises several important challenges, such as: confidentiality, data authentication and integrity, semantic contextual knowledge sharing, as well as common and intelligible understanding of the environment. Among the many challenges are semantic heterogeneity that occurs during dynamic knowledge extraction and authorization decisions which need to be taken when a resource is Accessem in an open, dynamic environment. Blockchain offers the tools to protect sensitive personal data and solve reliability issues by providing a secure communication architecture. However, setting-up blockchain-based applications comes with many challenges, including processing and fusing heterogeneous information from various sources. The ontology model explored in this paper relies on a unified knowledge representation method and thus is the backbone of a distributed system aiming to tackle semantic heterogeneity and to model decentralized management of Access control authorizations.We intertwine the blockchain technology with an ontological model to enhance knowledge management processes for distributed systems. Therefore, rather than reling on the mediation of a third party, the approach enhances autonomous decision-making. The proposed approach collects data generated by sensors into higher-level abstraction using n-ary hierarchical structures to describe entities and actions. Moreover, the proposed semantic architecture relies on hyperledger fabric to ensure the checking and authentication of knowledge integrity while preserving privacy.

Słowa kluczowe

EN

hyperledger fabric; ontology; security of distributed system; spatio-temporal knowledge representation

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2022
• Tom: nr 3
• Strony: 75--83
• Opis fizyczny: Bibliogr. 22 poz., rys.

Twórcy

autor

Lamri Manal

• Faculty of Mathematics and Informatics, University of Mohamed, El Bachir EL Ibrahimi, Algeria

autor

Sabri Lyazid

• Laboratory of Images, Signals and Intelligent Systems, University of Paris-Est, France

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).