Detecting the Manipulation of Demand via IoT

This article presents a research work on contrasting the Manipulation of Demand figures via IoT networks (MadIoT). MadIoT is a new example of large-scale coordinated attacks on the power grid that targets high-wattage electric appliances. By altering the concentration in time of switching on-off certain number of appliances, the stability of the energy distribution network as a whole it can be compromised. An issue is the fact that no individual consumer can detect MadIoT autonomously. Current energy business scenario uses interval-energy meters capillary deployed to remote users. Current meters operate in the timescale of minutes, which makes undetectable the MadIoT attacks. The authors propose using next-generation event-based real-time demand-oriented meters in order to collect true data about the timing of switching on-off devices. The above-mentioned big data stream enables newly introduced Security Agents to perform machine-reasoning over timing patterns against an unexpected probability density of events in certain neighborhood(s).