Thesis proposal talk:
The growth of mobile devices and computing has continued in recent years to the point where mobile network providers must not only upgrade their networks to serve the new traffic-intensive content that their users demand, but to actually turn to alternative methods of delivery, namely WiFi hotspots and femtocells. This demand is driven in part by the surge in streaming services, but also by the demand for ubiquitous access to data hosted in cloud services.
The increased connectivity has changed user expectations for access to their data. Cloud service providers have seen similar increases in their user bases as clients migrate from laptops and desktop computers to tablets and smartphones. The amounts of data and computation performed in cloud services has always been of interest to eavesdroppers, and their growth can only make it more valuable to them. In such a world, a growing dependency on centralized providers makes them single points of failures for privacy threats.
With residential broadband Internet becoming more commonplace, always-connected home devices can collaborate to build cloud services closer to the network edge to mitigate the threats, creating more diffuse targets of attack. In this work we propose to leverage these networks to provide improved privacy for network access control, and edge cloud storage with little to no administrative overhead to home network users. In particular our main aim is to provide IP location privacy, anonymous access control, and efficient network performance for residential edge services. We show our prototyping work implemented over our own testbed for residential devices that we will also use for implementation and evaluation, and describe the proposed work to solve the research problems emerging in this context.