Fog Computing as Privacy Enabler
Frank Pallas, Philip Raschke, David Bermbach

TL;DR
This paper argues that fog computing can enhance privacy and security, presenting four patterns that support data privacy and business secret protection, validated through three case studies.
Contribution
It introduces four novel fog computing patterns that promote privacy and security, complementing cryptographic methods, supported by practical case studies.
Findings
Four fog computing patterns improve data privacy and security.
Case studies demonstrate practical effectiveness of the proposed patterns.
Patterns complement existing cryptographic approaches.
Abstract
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.
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