Improving Information Security of the Exchange of IoT Data with the Use of Lora-Based Encryption Methods

The propagation of the Internet of Things (IoT) has resulted in greater demand for communication systems capable of being used effectively over a long distance but using minimum energy. LoRa (Long Range) is another technology that has become popular to support such requirements and its coverage and power consumption are quite good and can be used in large scale deployments of the IoT. In spite of these strengths, LoRa based networks are still prone to a networking range of security threats because of open wireless channels and unlicensed spectrum. The topic of the study is the improvement in data security in the context of LoRa networks that transmit the data. The research is aimed at eliminating the vulnerabilities in standard LoRaWAN protocol. We propose multi-layered, in which advanced encryption algorithms, integration of changes in the session key and energy-efficient inetrusion detection mechanism is made possible. It is shown, through experimental analysis, that the suggested frame-work increases resilience towards eavesdropping, replay attacks, and providing protection against device spoofing without sacrificing the low-power features that are central to IoT applications.

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