Performance Analysis of Physical Layer Key Generation (PLKG) Scheme in Static Environment-based LoRa

Since the emergence of Internet of Things (IoT) technology on the surface a few years ago, this IoT technology has been advancing. It has attracted the attention of cybercriminals. One of the cybercrime targets is the security of key management systems and their distribution schemes. This paper offers a solution to this issue by using a physical layer key generation (PLKG) scheme which utilizes the received signal strength indicator (RSSI) from a Long Range (LoRa) device as a key extraction source. The proposed scheme utilizes several methods. Polynomial fitting is used for the initial fitting process, 2-Ary quantization for conversion of RSSI to multibit, BCH to correct the difference in bits obtained between the two authorized users, privacy amplification for increased randomness, and AES-128 for encryption of sent messages. The expected outcome of this paper is that the scheme developed can generate keys with high approximate entropy and fulfills randomness requirements so that there is no need to distribute keys between authorized users. Testing the success of the scheme will be carried out in indoor and outdoor environments with static user positions. The test results show that the keys generated in all scenarios meet the randomness requirements with approximate entropy values above 0.01.