Selective encryption reduces security by making it easier to find the data worth decoding. For example a check image would highlight a target of interest - even if part were encrypted. A clear text online order would provide valuable contextual information even if the credit card information were encrypted. With overall encryption, a lot of effort can be devoted to decoding what proves to be useless information.
Sounds like a good approach, but I wonder how much is saved (on average - I am sure it is media/image dependent) versus what additional power is used in the initial analysis? Looks like it works but getting major acceptance could prove a challenge.
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.