Abstract:
Before a smartphone user can access nearby devices’ services, her device must discover them. Service visibility scoping in large-scale, heterogeneous enterprise environments has many unique features, such as proximity-based interactions, differentiated visibility by device and user attributes, and frequent user churns and revocation.
They invalidate existing solutions. Argus, a distributed algorithm, provides three-level, fine-grained visibility scoping in parallel: Level 1 public visibility, where services are identically visible to everyone; Level 2 differentiated visibility, where service visibility depends on users’ non-sensitive attributes; and Level 3 covert visibility, where service visibility depends on users’ sensitive attributes that are never explicitly disclosed.
Extensive analysis and experiments show that: i) Argus is secure; ii) its Level 2 is 10x as scalable and computationally efficient as work using Attribute-based Encryption, Level 3 is 10x as efficient as Paring-based Cryptography; and iii) it is fast and agile for satisfactory user experience, costing 0.25 s to discover 20 Level 1 devices and 0.63 s for Level 2 or Level 3 devices.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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