C. Dehury, S. Srirama, Praveen Kumar Donta, S. Dustdar
{"title":"Securing clustered edge intelligence with blockchain","authors":"C. Dehury, S. Srirama, Praveen Kumar Donta, S. Dustdar","doi":"10.1109/mce.2022.3164529","DOIUrl":null,"url":null,"abstract":"The devices at the edge of a network are not only responsible for sensing the surrounding environment but are also made intelligent enough to learn and react to the environment. Clustered Edge Intelligence (CEI) emphasizes intelligence-centric clustering instead of device-centric clustering. It allows the devices to share their knowledge and events with other devices and the remote fog or cloud servers. However, recent advancements facilitate the traceability of the events’ history by analyzing edge devices’ event logs, which are compute intensive and easy to alter. This article focuses on a blockchain-based solution for CEI that makes the edge devices’ events history immutable and easily traceable. This article further explains how the edge devices’ activities and the environmental data can be secured from the source device to the cloud servers. Such a secured CEI mechanism can be applied in establishing a transparent and efficient smart city, supply chain, logistics, and transportation systems.","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"1 1","pages":"22-29"},"PeriodicalIF":3.7000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Consumer Electronics Magazine","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/mce.2022.3164529","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 9
Abstract
The devices at the edge of a network are not only responsible for sensing the surrounding environment but are also made intelligent enough to learn and react to the environment. Clustered Edge Intelligence (CEI) emphasizes intelligence-centric clustering instead of device-centric clustering. It allows the devices to share their knowledge and events with other devices and the remote fog or cloud servers. However, recent advancements facilitate the traceability of the events’ history by analyzing edge devices’ event logs, which are compute intensive and easy to alter. This article focuses on a blockchain-based solution for CEI that makes the edge devices’ events history immutable and easily traceable. This article further explains how the edge devices’ activities and the environmental data can be secured from the source device to the cloud servers. Such a secured CEI mechanism can be applied in establishing a transparent and efficient smart city, supply chain, logistics, and transportation systems.
期刊介绍:
The scope will cover the following areas that are related to “consumer electronics” and other topics considered of interest to consumer electronics: Video technology, Audio technology, White goods, Home care products, Mobile communications, Gaming, Air care products, Home medical devices, Fitness devices, Home automation & networking devices, Consumer solar technology, Home theater, Digital imaging, In Vehicle technology, Wireless technology, Cable & satellite technology, Home security, Domestic lighting, Human interface, Artificial intelligence, Home computing, Video Technology, Consumer storage technology.