Deep Learning based Channel Reciprocity Technique for Secret Key Generation

Wireless technology is a development of modern technology where data exchange and communication can be carried out without cables, which cannot be separated from daily activities. But behind the convenience of this wireless technology, there is a problem or threat in the form of tapping and data theft. So in this paper, a key generation system will be created which is expected to be used for a security system for wireless technology. In this paper, the technology used is LoRa. However, the key generation rate on LoRa is often low due to environmental factors. One way to overcome this problem is by conditioning the value of the high RSSI correlation coefficient. In this paper, we propose, a key generation system that was created to increase Channel Reciprocity based on the Deep Learning pre-process method and the Uniform Quantization method to obtain a high correlation coefficient value. From the experimental results, it can be seen that RSSI correlation values were successfully increased using the deep learning method that has been designed in all scenarios and the secret key is successfully generated. The most number of keys obtained is 18, with each key having a length of 128 bits.