Preservation of Confidentiality Based on Homomorphic Encryption Library for IoT

Abstract

The Internet of Things (IoT) is the term used to describe the connectivity of different physical objects, including sensors, appliances, vehicles, and other devices, which are equipped with electronics, software, and sensors to gather and share data. These devices produce a significant volume of confidential information that requires safeguarding against unauthorized access or disclosure. Homomorphic encryption can play a significant role in preserving confidentiality in IoT environments. It enables data to be processed without revealing the underlying data or the results of the computation. This means that sensitive data generated by IoT devices can be encrypted using homomorphic encryption, and computations can be performed on the encrypted data, while maintaining confidentiality. A homomorphic encryption library designed for IoT can allow IoT devices to securely and efficiently perform computations on encrypted data, without exposing the data to any third party or intermediary. This can help prevent data breaches and unauthorized access to sensitive IoT data, which is crucial in many industries, such as healthcare, finance, and transportation. The number of smart devices is growing at an incredible rate, as is the interest of people in these devices. Devices send data wirelessly and are good targets for hackers. To prevent such situations, you must first protect the microcontroller built into the devices. For this purpose, the fully homomorphic encryption library «HomomorphicControllerVersion_01» was developed. The article proposes the architecture of the library of fully homomorphic operations on integers. The library supports basic homomorphic operations (addition, subtraction, multiplication, division) on integers. On the basis of the proposed method of homomorphic division and the architecture of the library, the library of homomorphic operations on integers was implemented. The article also provides measurements of the time required to perform certain operations on encrypted data and analyzes the efficiency of the developed implementation of the library.