Data mining technique in which data is inferred from partial information. By analyzing large amounts of data, an attacker can illegally gain knowledge about a database or its contents without actually accessing it. Data is considered trivial only if nothing can be inferred from it. But if an attacker is able to piece together valuable information that should be protected at a higher level, the inference attack is considered successful.
Inference attacks are very effective with IoT devices. Data gathered from smart thermostats, fridges, and washing machines may seem trivial, but experienced analysts can infer a lot about a person they belong to. IoT devices still have poor security measures, and much of their data can be easily accessed by cybercriminals.