With the advent of the Internet of Things (IoT), we are now seeing farmers use more wireless technologies to increase the quality and efficiency of production to achieve higher yields. IoT has opened the door for engineers to develop smart farming solutions to meet the world’s growing food demands. IoT will compel the industry to rethink processes and require the deployment of new technologies (sensors, wireless networks, applications/platforms) to ingest the massive amount of agricultural data and identify the actionable data that will help farmers meet their goals. The decrease in cost of cellular connectivity and device modules, combined with the emergence of low-power wide-area networks (LPWAN) LoRa and Sigfox, has created an explosion of new tools to deploy precision agriculture solutions. Research organization BI Intelligence has predicted that IoT device installations in the smart agriculture world will increase to 75 million by 2020. According to research firm Global Market
A group of researchers have devised a self-learning system for detecting compromised IoT devices that does not require prior knowledge about device types or labeled training data to operate.
“We propose a novel approach that combines automated device-type identification and subsequent device-type-specific anomaly detection by making use of machine learning techniques. Using this approach, we demonstrate that we can effectively and quickly detect compromised IoT devices with little false alarms, which is an important consideration for deployability and usability of any anomaly detection approach,” the researchers noted.
Security has been the subtitle for all discussions about the internet of things. But a lot of that discussion has been based on some bad assumptions and misinterpretations. IoT can be secured, but just not in a lot of the ways that are being discussed. Here are six of the most common IoT security myths and the reality behind each of them.