Artificial intelligence and machine learning offer new possibilities for improving IoT security ZDNet

In October 2016, a worldwide denial-of-service (DDoS) attack crippled the internet, infecting thousands of devices with malware that spread through home cameras, DVRs, and other connected devices. The malware doing the damage was not extremely sophisticated -- but neither were the malware protections or user IDs and passwords that were easily detected and spoofed to break into home devices. In a nutshell, the Internet of Things (IoT), which consists of sensors, cameras, DVRs, mobile phones, and so on, that communicate over public internet, is extremely vulnerable. Meanwhile, corporate auditors are only now beginning to get their arms around how they vet companies for IoT security protection. "Modern businesses are digital hives of connected objects that all too often lack adequate security, providing attractive gateways for cyber attackers," said IoT security expert Dave Palmer, director of technology for Darktrace. That could be anything from a printer or a thermostat connected to the corporate network, through to a connected coffee machine or iWatch."