Exploring Reliable Decentralized Networks with Smart Collaborative Theory

Fei Song, Yuyin Ma, Zhenhui Yuan, Ilsun You, Giovanni Pau, Hongke Zhang

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The Internet of Things (IoT) is supposed to bridge diversiform service functions and heterogeneous network components. Although the Web3 and blockchain have been regarded as pioneers to retrieve the power and rights from current and future Internet giants, there are still many serious integration issues if information centric mechanisms are enabled. In this article, we establish a system for Reliable Decentralized Networks (RDN) to enhance the capability of content privacy protection based on smart collaborative theory. Possible solutions are explored to create compatible IoT environment when massive data packets have been exposed and shared in complex scenarios. Specifically, we first present common cyberattack approaches inspired by well-known service patterns and typical network characteristics. The information centric requirements are investigated to reduce the leakage risk of existing procedures, which provides necessary repertoire for implementations. The details of RDN design and deployment include target content classifications, representative combination analysis, caching pattern identifications, and so on. Finally, we validate the RDN prototype to illustrate endogenous advantages and potential utilities.
Original languageEnglish
Pages (from-to)44-50
Number of pages7
JournalIEEE Communications Magazine
Volume61
Issue number8
Early online date12 Jun 2023
DOIs
Publication statusPublished - 1 Aug 2023

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