I think you've exaggerated what was stated/reported. Having a centralized means for verification is necessary but not sufficient; iOS has the opportunity to perform the verification by way of their distribution model.
Spam, malware, and phishing attacks are a serious plague. Not only do their infections cause untold loss of productivity but the necessary scanning tools also cause a staggering loss of device productivity and reliability. I think it is important that all companies take this problem much more seriously. Most reports of spam and malware being sent elicit no response from the company and the problems persist. If we all adopted a zero tolerance policy and the senders were more aggressively prosecuted, this problem could be substantially reduced.
"There is no centralized place where Google can check all apps for suspicious behavior, according to McAfee."
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.