An Identification of artificial objects is lately receiving much attention for two reasons: the problem of counterfeiting of artificial objects, such as goods that use brand names, in international trade and the necessity of achieving a secure communication in the Internet of Things (IoT), which is a network of artificial objects that are embedded with network connectivity. To identify artificial objects, “fingerprints” of artificial objects, introduced during manufacturing and non-separable characteristics from artificial objects themselves, have to be discovered. This article reports fingerprints for acceleration sensors, flash memory, non-Foster matching circuits and elemental techniques for identifying fingerprints or measuring fingerprints with stability. This article demonstrates an encoding method for recording fingerprints securely in a distributed storage system.