{"title":"Edge Computing and IoT Data Breaches: Security, Privacy, Trust, and Regulation","authors":"David Kolevski;Katina Michael","doi":"10.1109/MTS.2024.3372605","DOIUrl":null,"url":null,"abstract":"Edge computing is an emerging computing paradigm representing decentralized and distributed information technology architecture \n<xref>[1]</xref>\n. The demand for edge computing is primarily driven by the increased number of smart devices and the Internet of Things (IoT) that generate and transmit a substantial amount of data, that would otherwise be stored on cloud computing services. The edge architecture enables data and computation to be performed in close proximity to users and data sources and acts as the pathway toward upstream data centers \n<xref>[2]</xref>\n. Rather than sending data to the cloud for processing, the analysis and work is done closer to where the source of the data is generated (\n<xref>Figure 1</xref>\n). Edge services leverage local infrastructure resources allowing for reduced network latency, improved bandwidth utilization, and better energy efficiency compared to cloud computing.","PeriodicalId":55016,"journal":{"name":"IEEE Technology and Society Magazine","volume":"43 1","pages":"22-32"},"PeriodicalIF":2.1000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10496887","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Technology and Society Magazine","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10496887/","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Edge computing is an emerging computing paradigm representing decentralized and distributed information technology architecture
[1]
. The demand for edge computing is primarily driven by the increased number of smart devices and the Internet of Things (IoT) that generate and transmit a substantial amount of data, that would otherwise be stored on cloud computing services. The edge architecture enables data and computation to be performed in close proximity to users and data sources and acts as the pathway toward upstream data centers
[2]
. Rather than sending data to the cloud for processing, the analysis and work is done closer to where the source of the data is generated (
Figure 1
). Edge services leverage local infrastructure resources allowing for reduced network latency, improved bandwidth utilization, and better energy efficiency compared to cloud computing.
期刊介绍:
IEEE Technology and Society Magazine invites feature articles (refereed), special articles, and commentaries on topics within the scope of the IEEE Society on Social Implications of Technology, in the broad areas of social implications of electrotechnology, history of electrotechnology, and engineering ethics.