| Title | Speeding Up Encryption on IoT Devices Using Homomorphic Encryption |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Matsumoto, Marin, Oguchi, Masato |
| Conference Name | 2021 IEEE International Conference on Smart Computing (SMARTCOMP) |
| Keywords | Computers, Conferences, fully homomorphic encryption, Home appliances, homomorphic encryption, human factors, IoT device, Metrics, performance evaluation, Portable computers, pubcrawl, public key cryptography, resilience, Resiliency, Scalability, smartphone, Somewhat Homomorphic Encryption, statistical analysis |
| Abstract | What do we need to do to protect our personal information? IoT devices such as smartphones, smart watches, and home appliances are widespread. Encryption is required not only to prevent eavesdropping on communications but also to prevent information leakage from cloud services due to unauthorized access. Therefore, attention is being paid to fully homomorphic encryption (FHE) that allows addition and multiplication between ciphertexts. However, FHE with this convenient function has a drawback that the encryption requires huge volume of calculation and the ciphertext is large. Therefore, if FHE is used on a device with limited computational resources such as an IoT device, the load on the IoT device will be too heavy. In this research, we propose a system that can safely and effectively utilize data without imposing a load on IoT devices. In this system, somewhat homomorphic encryption (SHE), which is a lightweight cryptosystem compared with FHE, is combined with FHE. The results of the experiment confirmed that the load on the IoT device can be reduced to approximately 1/1400 compared to load of the system from previous research. |
| DOI | 10.1109/SMARTCOMP52413.2021.00059 |
| Citation Key | matsumoto_speeding_2021 |
Speeding Up Encryption on IoT Devices Using Homomorphic Encryption