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Fog Computing as Privacy Enabler
IEEE Internet Computing ( IF 3.7 ) Pub Date : 2020-07-01 , DOI: 10.1109/mic.2020.2979161
Frank Pallas 1 , Philip Raschke 1 , David Bermbach 2
Affiliation  

Despite broad discussions on privacy challenges arising from fog computing, the authors argue that privacy and security requirements might actually drive the adoption of fog computing. They present four patterns of fog computing fostering data privacy and the security of business secrets, complementing existing cryptographic approaches. Their practical application is illuminated on the basis of three case studies.

中文翻译:

雾计算作为隐私使能器

尽管对雾计算引起的隐私挑战进行了广泛的讨论,但作者认为隐私和安全要求实际上可能会推动雾计算的采用。他们提出了四种雾计算模式,可以促进数据隐私和商业机密的安全,补充现有的加密方法。在三个案例研究的基础上阐明了它们的实际应用。
更新日期:2020-07-01
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