基于Ni-SnO2纳米颗粒的GS-PUF设计
PDF下载 (327)李乐薇,汪鹏君,张跃军.基于Ni-SnO2纳米颗粒的GS-PUF设计[J].宁波大学学报(理工版),2021,34(6):61-66.DOI:
LI Lewei,WANG Pengjun,ZHANG Yuejun.Gas sensor physical unclonable function based on Ni-SnO2 nanoparticles[J].Journal of Ningbo University(Natural Science & Engineering Edition),2021,34(6):61-66.DOI:
| Title: | Gas sensor physical unclonable function based on Ni-SnO2 nanoparticles |
| 作者: | 李乐薇, 汪鹏君, 张跃军 |
| Author(s): | LI Lewei, WANG Pengjun, ZHANG Yuejun |
| 关键词: | Ni-SnO2纳米颗粒; 物理不可克隆函数; 气敏传感器; 静电喷雾沉积 |
| Keywords: | Ni-SnO2 nanoparticles; physical unclonable function; gas sensor; electrostatic spray deposition |
| 分类号: | TN79 |
| 文献标识码: | A |
| 摘要: | 气敏传感器具有气体识别、探测和监测等功能, 广泛应用于工业生产等领域, 但在泄漏预警时缺乏迅速识别和定位等功能. 本文基于传感器制备工艺偏差分析, 通过对传感器气敏机制的研究, 提出一种基于Ni-SnO2纳米颗粒的气敏传感器物理不可克隆函数(Gas Sensor-Physical Unclonable Function, GS-PUF)设计方案. 该方案利用掺杂Ni元素的方法, 结合静电喷雾沉积技术制备Ni-SnO2气敏传感器, 以获取更加稳定可靠的物理特征值, 然后采集气敏传感器对不同浓度下气体的响应数据, 最后利用随机阻值多位平衡算法比较不同组气敏传感器响应电信号值, 实现PUF数据输出. 制备每组样本可产生128位二进制数据的多组PUF样本, 进行对比实验. 结果表明, 所设计的GS-PUF具有气体泄漏源头识别定位的功能, 且随机性提升至99%, 唯一性达49.80%. |
| Abstract: | Gas sensors are widely used in industry and other fields with the functions of identification, detection, and monitoring, but they lack the functions of rapid identification and positioning in the early warning of leakage. In this paper, a GS-PUF (Gas Sensor-Physical Unclonable Function) design scheme is proposed. The method of doping heavy Ni elements is adopted to prepare Ni-SnO2 gas sensor with electrostatic spray deposition technique to obtain more stable and reliable physical characteristics. Then the response data of gas sensors to different concentrations of gas are collected. Finally, the random resistance multi-bit balance algorithm is used to compare the response electrical signal values of different groups of gas sensors to achieve PUF data output. Multiple groups which can generate 128 bit binary data of PUF samples are implemented for comparison experiment. The results show that the designed GS-PUF has the function of identifying and locating the source of gas leakage, and the randomness is increased to 99%, and the uniqueness is 49.80%. |
| 参考文献 /References: | [1] Butun I, Osterberg P, Song H. Security of the internet of things: vulnerabilities, attacks, and countermeasures[J]. IEEE Communications Surveys & Tutorials, 2020, 22(1): 616-644. [2] Labrado C, Thapliyal H, Prowell S, et al. Use of thermistor temperature tensors for cyber-physical system security[J]. Sensors, 2019, 19(18):3905-3920. [3] Li G, Wang P J, Qian H Y. Highly reliable multiport PUF circuit based on MOSFET zero temperature coefficient point[J]. Chinese Journal of Electronics, 2018, 27(4):211- 216. [4] Labrado C, Thapliyal H. Design of a piezoelectric-based physically unclonable function for IoT security[J]. IEEE Internet of Things Journal, 2019, 6(2):2770-2777. [5] Cao Y, Zalivaka S, Zhang L, et al. CMOS image sensor based physical unclonable function for smart phone security applications[C]. IEEE 14th International Symposium on integrated Circuits, 2014:392-395. [6] Kumar S D, Labrado C, Badhan R, et al. Solar cell based physically unclonable function for cybersecurity in IoT devices[C]. 2018 IEEE Computer Society Annual Symposium on VLSI, 2018:697-702. [7] Valsesia D, Coluccia G, Bianchi T, et al. User authentication via PRNU-based physical unclonable functions[J]. IEEE Transactions on Information Forensics and Security, 2017, 12(8):1941-1956. [8] Rahim K, Tahir H, Ikram N. Sensor based PUF IoT authentication model for a smart home with private blockchain[C]. 2018 International Conference on Applied and Engineering Mathematics, 2018:102-108. [9] 汪鹏君, 李乐薇, 郑雁公, 等. 基于气敏传感器的高稳态物理不可克隆函数发生器[J]. 电子与信息学报, 2021, 43(6):1596-1602. [10] Yun W, Hui Z, Xu H S. Electrospun nanowebs of NiO/SnO2 p-n heterojunctions for enhanced gas sensing [J]. Applied Surface Science, 2016, 389(15):514-520. [11] Liu H C, Wang F P, Hu K L, et al. Superior hydrogen sensing property of porous NiO/SnO2 nanofibers synthesized via carbonization[J]. Nanomaterials, 2019, 9(9):1250-1263. [12] Yi J, Lee J M, Park W. Vertically aligned ZnO nanorods and graphene hybrid architectures for high-sensitive flexible gas sensors[J]. Sensors & Actuators, 2011, 155(1): 264-269. [13] Li G, Wang P J, Zhang Y J, et al. A multi-port low-power current mode PUF using MOSFET current-division deviation in 65nm technology[J]. Microelectronics Journal, 2017, 67:169-175. [14] Zhao Q, Wu Y H, Zhao X J, et al. A 1036-F2/bit high reliability temperature compensated cross-coupled comparator-based PUF[J]. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2020, 28(6): 1449-1460. [15] 李刚, 汪鹏君, 张跃军, 等. 基于65nm工艺的多端口可配置PUF电路设计[J]. 电子与信息学报, 2016, 38(6): 1541-1546. |
| 备注/Memo: | 收稿日期:2021-06-15.宁波大学学报（理工版）网址:http://journallg.nbu.edu.cn/ 基金项目:国家自然科学基金（61874078,61871244）;国家重点研发项目（2018YFB2202100）;宁波市公益性计划项目（202002N3134）;宁波大学研究生科研创新基金. 第一作者:李乐薇（1997－）,女,河南南阳人,在读硕士研究生,主要研究方向:信息安全等技术及其相关理论.E-mail:956876464@qq.com *通信作者:汪鹏君（1966－）,男,浙江宁波人,教授,主要研究方向:集成电路和信息安全等相关理论.E-mail:wangpengjun@wbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
