Performance Analysis of Advanced IoT Encryption on Serialization Concept: Application Optimization Approach

Abstract

This study investigates the effect of serialization concepts with cipher algorithms and block mode on structured data on execution time in low-level computing IoT devices. The research was conducted based on IoT devices, which are currently widely used in online transactions. The result of overheating on the CPU is fatal if the encryption load is not reduced. One of the consequences is an increase in the maintenance obligations. So that from this influence, the user experience level will have bad influence. This study uses experimental methods by exploring serialization, ciphers, and block mode using benchmarks to get better data combination algorithms. The four test data groups used in benchmarking will produce an experimental benchmark dataset on the selected AES, Serpent, Rijndael, BlowFish, and block mode ciphers. This study indicates that YAML minify provides an optimal encryption time of 21% and decryption of 27% than JSON Pretty if an average of the whole test is taken. On the other hand, the AES cipher has a significant effect on the encryption and decryption process, which is 51% more optimal for the YAML minify serialization