Arm PSA-Certified IoT Chip Security: A Case Study

With the large scale adoption of Internet of Things(IoT)applications in people’s lives and industrial manufacturing processes,IoT security has become an important problem today.IoT security significantly relies on the security of the underlying hardware chip,which often contains critical information,such as encryption key.To understand existing IoT chip security,this study analyzes the security of an IoT security chip that has obtained an Arm Platform Security Architecture(PSA)Level 2 certification.Our analysis shows that the chip leaks part of the encryption key and presents a considerable security risk.Specifically,we use commodity equipment to collect electromagnetic traces of the chip.Using a statistical T-test,we find that the target chip has physical leakage during the AES encryption process.We further use correlation analysis to locate the detailed encryption interval in the collected electromagnetic trace for the Advanced Encryption Standard(AES)encryption operation.On the basis of the intermediate value correlation analysis,we recover half of the 16-byte AES encryption key.We repeat the process for three different tests;in all the tests,we obtain the same result,and we recover around 8 bytes of the 16-byte AES encryption key.Therefore,experimental results indicate that despite the Arm PSA Level 2 certification,the target security chip still suffers from physical leakage.Upper layer application developers should impose strong security mechanisms in addition to those of the chip itself to ensure IoT application security.

Data Secure Transmission Model Based on Compressed Sensing and Digital Watermarking Technology

Since the Internet of Things（IoT） secret information is easy to leak in data transfer,a data secure transmission model based on compressed sensing（CS） and digital watermarking technology is proposed here. Firstly, for node coding end, the digital watermarking technology is used to embed secret information in the conventional data carrier. Secondly, these data are reused to build the target transfer data by the CS algorithm which are called observed signals. Thirdly, these signals are transmitted to the base station through the wireless channel. After obtaining these observed signals, the decoder reconstructs the data carrier containing privacy information. Finally, the privacy information is obtained by digital watermark extraction algorithm to achieve the secret transmission of signals. By adopting the watermarking and compression sensing to hide secret information in the end of node code, the algorithm complexity and energy consumption are reduced. Meanwhile, the security of secret information is increased.The simulation results show that the method is able to accurately reconstruct the original signal and the energy consumption of the sensor node is also reduced significantly in consideration of the packet loss.