{"title":"Enhancing IoT security with threshold switching-based unified security primitives.","authors":"Guobin Zhang, Jianhao Kan, Xuemeng Fan, Qi Luo, Jiabao Sun, Dawei Gao, Yishu Zhang","doi":"10.1088/1361-6528/adb980","DOIUrl":null,"url":null,"abstract":"<p><p>In the era of big data and Internet of Things (IoT), the surge in data volume and widespread interconnectivity of devices make hardware a key node in a vast network ecosystem. Developing state-of-the-art secure IoT hardware is necessary and critical. In this paper, we successfully realized a unified security hardware integrating Physically unclonable function (PUF) and true random number generator (TRNG) functions by constructing a 32× 32 1T1R array based on threshold switching (TS) memristor cells. Through detailed analysis of the chemical properties of FeO<i><sub>x</sub></i>films and the electrical properties of TS memristors, we verified that the prepared TS devices have good cyclic stability and randomness. Leveraging these characteristics, we implemented a PUF system and effectively deployed a TRNG relying on the CTR_DRBG algorithm. Notably, the generated PUF exhibits a Hamming Weight of 0.508 with the standard deviation of 0.062, along with an Intra-Hamming Distance of 0.00012 with the standard deviation of 0.142 and an Inter-Hamming Distance of 0.496 with the standard deviation of 0.073. Moreover, we conducted a baking test on the samples for 100 h at each temperature point, with intervals of 25 °C within the 25 °C-125 °C range. The resulting bit-error rate (BER) of the generated PUF remains below 1.5%, which clearly attests to the PUF's remarkable uniformity, uniqueness, and robustness. Subsequently, we subjected the generated random numbers to the National Institute of Standards and Technology-900 test. The results revealed that the<i>p</i>-values of all test items exceeded 0.01, a strong indication of the outstanding randomness of the generated random numbers. Compared with other similar works, the energy consumption per bit is reduced by more than 30%, and the rate of generating random numbers is increased by more than 20%. The proposed unified security hardware not only demonstrates the potential application of TS memristor in hardware security, but also provides new ideas for solving the integration and energy efficiency problems of security hardware in IoT devices.</p>","PeriodicalId":19035,"journal":{"name":"Nanotechnology","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nanotechnology","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1088/1361-6528/adb980","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In the era of big data and Internet of Things (IoT), the surge in data volume and widespread interconnectivity of devices make hardware a key node in a vast network ecosystem. Developing state-of-the-art secure IoT hardware is necessary and critical. In this paper, we successfully realized a unified security hardware integrating Physically unclonable function (PUF) and true random number generator (TRNG) functions by constructing a 32× 32 1T1R array based on threshold switching (TS) memristor cells. Through detailed analysis of the chemical properties of FeOxfilms and the electrical properties of TS memristors, we verified that the prepared TS devices have good cyclic stability and randomness. Leveraging these characteristics, we implemented a PUF system and effectively deployed a TRNG relying on the CTR_DRBG algorithm. Notably, the generated PUF exhibits a Hamming Weight of 0.508 with the standard deviation of 0.062, along with an Intra-Hamming Distance of 0.00012 with the standard deviation of 0.142 and an Inter-Hamming Distance of 0.496 with the standard deviation of 0.073. Moreover, we conducted a baking test on the samples for 100 h at each temperature point, with intervals of 25 °C within the 25 °C-125 °C range. The resulting bit-error rate (BER) of the generated PUF remains below 1.5%, which clearly attests to the PUF's remarkable uniformity, uniqueness, and robustness. Subsequently, we subjected the generated random numbers to the National Institute of Standards and Technology-900 test. The results revealed that thep-values of all test items exceeded 0.01, a strong indication of the outstanding randomness of the generated random numbers. Compared with other similar works, the energy consumption per bit is reduced by more than 30%, and the rate of generating random numbers is increased by more than 20%. The proposed unified security hardware not only demonstrates the potential application of TS memristor in hardware security, but also provides new ideas for solving the integration and energy efficiency problems of security hardware in IoT devices.
期刊介绍:
The journal aims to publish papers at the forefront of nanoscale science and technology and especially those of an interdisciplinary nature. Here, nanotechnology is taken to include the ability to individually address, control, and modify structures, materials and devices with nanometre precision, and the synthesis of such structures into systems of micro- and macroscopic dimensions such as MEMS based devices. It encompasses the understanding of the fundamental physics, chemistry, biology and technology of nanometre-scale objects and how such objects can be used in the areas of computation, sensors, nanostructured materials and nano-biotechnology.