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Please use this identifier to cite or link to this item: http://hdl.handle.net/10277/813

Authors: Sagirlar, Gakhan
Internal Tutor: CARMINATI, BARBARA
FERRARI, ELENA
Title: Enhancing data privacy and security in Internet of Things through decentralized models and services
Abstract: exploits a Byzantine Fault Tolerant (BFT) blockchain, in order to perform collaborative and dynamic botnet detection by collecting and auditing IoT devices’ network traffic flows as blockchain transactions. Secondly, we take the challenge to decentralize IoT, and design a hybrid blockchain architecture for IoT, by proposing Hybrid-IoT. In Hybrid-IoT, subgroups of IoT devices form PoW blockchains, referred to as PoW sub-blockchains. Connection among the PoW sub-blockchains employs a BFT inter-connector framework. We focus on the PoW sub-blockchains formation, guided by a set of guidelines based on a set of dimensions, metrics and bounds.
Keywords: IoT, privacy, security, decentralization
Subject MIUR : INF/01 INFORMATICA
Issue Date: 2018
Language: eng
Doctoral course: Informatica e matematica del calcolo
Academic cycle: 31
Publisher: Università degli Studi dell'Insubria
Citation: Sagirlar, G.Enhancing data privacy and security in Internet of Things through decentralized models and services (Doctoral Thesis, Università degli Studi dell'Insubria, 2018).

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