Comment Sign the AI? (Score 2) 34
So I can just take a photo of an AI generated image and the iPhone will tell people it's authentic? Wonderful.
Comment Stalkers & Privacy? (Score 2) 41
So there will now be a system, which lets companies forever track your physical location? They get a seven-digit code that they can then keep updating to get your address even after you move?
Is there something in place to stop them from selling this information? Can I generate a new code if I want? We all know various companies will leak this information, and it takes just one. Will stalkers use this to continually track people?
What they need a seven-digit code which never gets resolved to an address (to companies/users), just address it to 'ABC1234' and the postal services looks up on their side, then delivers.
Comment Academic paper on that topic (Score 3, Interesting) 114
http://www.cs.wisc.edu/~suman/pubs/citywide.pdf
ABSTRACT
We describe our experiences in building a city-wide infrastructure for wide-area wireless experimentation. Our infrastructure has two components — (i) a vehicular testbed consisting of wireless nodes, each equipped with both cellular (EV-DO) and WiFi interfaces, and mounted on city buses plying in Madison, Wisconsin, and (ii) a software platform to utilize these testbed nodes to continuously monitor and characterize performance of large scale wireless networks, such as city-wide mesh networks, unplanned deployments of WiFi hotspots, and cellular networks. Beyond our initial eorts in building and deploying this infrastructure, we have also utilized it to gain some initial understanding of the diversity of user experience in large-scale wireless networks, especially under various mobility scenarios. Since our vehicle-mounted testbed nodes have fairly deterministic mobility patterns, they provide us with much needed performance data on parameters such as RF coverage and available bandwidth, as well as quantify the impact of mobility on performance. We use our initial measurements from this testbed to showcase its ability to provide an ecient, low-cost, and robust method to monitor our target wireless networks. These initial measurements also highlight the challenges we face as we continue to expand this infrastructure. We discuss what these challenges are and how we intend to address them.
ABSTRACT
We describe our experiences in building a city-wide infrastructure for wide-area wireless experimentation. Our infrastructure has two components — (i) a vehicular testbed consisting of wireless nodes, each equipped with both cellular (EV-DO) and WiFi interfaces, and mounted on city buses plying in Madison, Wisconsin, and (ii) a software platform to utilize these testbed nodes to continuously monitor and characterize performance of large scale wireless networks, such as city-wide mesh networks, unplanned deployments of WiFi hotspots, and cellular networks. Beyond our initial eorts in building and deploying this infrastructure, we have also utilized it to gain some initial understanding of the diversity of user experience in large-scale wireless networks, especially under various mobility scenarios. Since our vehicle-mounted testbed nodes have fairly deterministic mobility patterns, they provide us with much needed performance data on parameters such as RF coverage and available bandwidth, as well as quantify the impact of mobility on performance. We use our initial measurements from this testbed to showcase its ability to provide an ecient, low-cost, and robust method to monitor our target wireless networks. These initial measurements also highlight the challenges we face as we continue to expand this infrastructure. We discuss what these challenges are and how we intend to address them.
