I could see some insurance denial specailist on commision to using illigal data minimg to find out who he can srew over by refusing insurance coverage or raising rates on those they feel are high risk based on data mined.
Erubus, exactly, only with plug and play encription
That can't be compromised by app or OS updates.
Or at least OS updates need to be validated and only available to the carrier.
A form of fire wall between the OS update system and other apps will be needed to insure this does not get exploited.
We have the technology to greatly enhance our medical care. What we lack is sufficient data security to keep unwanted people from exploiting that data for uses against others.
So I am only luke warm on going forward with sensor development and data analysis until we can better protect the information.
Just my opinion.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.