Risk factors in the implementation of smart cities

[2017-01-19 Thu 18:11:21] speaker: Vinton Gray Cerf event: SMU Panel

Showing the number of empty lots in a car park as an example of a simple and effective system.

Tesla can evolve over time due to software updates.

But updates can also contain malware, strong authentication is necessary.

Nest in Cerf’s home did not detect anyone thus assumes the house is empty and sets the wrong temp.

Cities will evolve over time as solutions become economically sensible and reliable