Side-channel security analysis of UOV signature for cloud-based Internet of Things

摘要: Abstract Among Internet of Things (IoTs), cloud-based IoTs help retain the confidentiality both device-to-cloud and cloud-to-device messages by setting up individual identities credentials for each IoT devices. As recently been emphasized two American institutes, National Institute Standards Technology (NIST) Security Agency (NSA), that use RSA ECC signatures are insecure under quantum computer attacks. To ensure security in attacks, there is a critical need implementations new quantum-resistance signature systems, such as Unbalanced Oil Vinegar (UOV), making more secure reliable. In order to analyze UOV IoTs, we present an efficient algorithm based on side channel analysis UOV, which combines inducing faults Hamming distance power analysis. We implement schemes Sakura-G FPGA board via using Verilog-HDL code Xilinx ISE software, where collection uses 350 MHz Keysights oscilloscope. Based experimental results, successfully recover all secret keys signature, shows should protect related against attacks when they adopted IoTs.