用于硬件木马检测的电磁辐射分析方法研究

唐永康; 胡星; 苏颋; 李少青

doi:10.11959/j.issn.2096-109x.2021030

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用于硬件木马检测的电磁辐射分析方法研究

专题：集成电路硬件安全 | 更新时间：2024-06-03

- 用于硬件木马检测的电磁辐射分析方法研究
- Research on electromagnetic radiation based side-channel analysis method for hardware Trojan detection
- 网络与信息安全学报 2021年7卷第2期页码：43-56
- 作者机构：
- 作者简介：
  
  [ "唐永康（1992- ），男，山东烟台人，国防科技大学博士生，主要研究方向为芯片与信息安全。" ]
  [ "胡星（1989- ），女，江西赣州人，国防科技大学工程师，主要研究方向为芯片与信息安全。" ]
  [ "苏颋（1996- ），男，湖南茶陵人，国防科技大学硕士生，主要研究方向为芯片与信息安全。" ]
  [ "李少青（1963- ），男，陕西西安人，国防科技大学研究员，主要研究方向为芯片与信息安全。" ]
- 基金信息：
  
  国家自然科学基金重点项目;The Key Program of National Natural Science Foundation of China(61832018)
- DOI：10.11959/j.issn.2096-109x.2021030
  中图分类号： TP393
- 网络首发：2021-04，
  
  纸质出版：2021-04-15
- 稿件说明：
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唐永康, 胡星, 苏颋, 等. 用于硬件木马检测的电磁辐射分析方法研究[J]. 网络与信息安全学报, 2021,7(2):43-56.

Yongkang TANG, Xing HU, Ting SU, et al. Research on electromagnetic radiation based side-channel analysis method for hardware Trojan detection[J]. Chinese Journal of Network and Information Security, 2021, 7(2): 43-56.
唐永康, 胡星, 苏颋, 等. 用于硬件木马检测的电磁辐射分析方法研究[J]. 网络与信息安全学报, 2021,7(2):43-56. DOI： 10.11959/j.issn.2096-109x.2021030.

Yongkang TANG, Xing HU, Ting SU, et al. Research on electromagnetic radiation based side-channel analysis method for hardware Trojan detection[J]. Chinese Journal of Network and Information Security, 2021, 7(2): 43-56. DOI： 10.11959/j.issn.2096-109x.2021030.

摘要

随着集成电路产业全球化的发展，硬件木马已成为集成电路的主要安全威胁之一。目前能较好权衡检测成本与检测能力的侧信道分析方法越来越受到研究人员的关注，其中，电磁辐射分析方法是研究热点之一。重点分析并验证电磁辐射分析方法对硬件木马的检测能力，并探究限制其检测性能的原因。在现场可编程逻辑门阵列（FPGA）上进行验证实验，实验结果表明，电磁辐射分析方法可以很好地检测电磁辐射频率分布独特的硬件木马电路，但无法适用于电磁辐射频率分布复杂的硬件木马。

Abstract

With the globalization of the integrated circuit industry

hardware Trojan is becoming the main threat to integrated circuits.At present

the side-channel analysis which can make a good trade-off between detection ability and cost

has attracted more attention from the academia.The side-channel analysis method based on electromagnetic radiation is one of the hotspots in hardware security field.The ability evaluation of electromagnetic radiation analysis method to detect hardware Trojan was focused

and the factor that limited their detection performance was explored.The experimental results on FPGA show that the electromagnetic radiation analysis method can effectively detect hardware Trojan whose electromagnetic radiation distribution is significantly different from surrounding circuits

but it cannot be applied to hardware Trojan with complex frequency distribution of electromagnetic radiation.

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references

AGRAWAL D , BAKTIR S , KARAKOYUNLU D , et al . Trojan detection using IC fingerprinting [C ] // 2007 IEEE Symposium on Security and Privacy (SP'07) . Berkeley,CA:IEEE , 2007 : 296 - 310 .

LIU C , CRONIN P , YANG C . A mutual auditing framework to protect IoT against hardware Trojans [C ] // 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC) . 2016 .

CHAKRABORTY R S , WOLFF F , PAUL S , et al . MERO:a statistical approach for hardware Trojan detection [C ] // Cryptographic Hardware and Embedded Systems - CHES 2009 . Berlin,Heidelberg:Springer , 2009 : 396 - 410 .

BALASCH J , GIERLICHS B , VERBAUWHEDE I . Electromagnetic circuit fingerprints for hardware trojan detection [C ] // 2015 IEEE International Symposium on Electromagnetic Compatibility (EMC) . Dresden,Germany:IEEE , 2015 : 246 - 251 .

BANGA M , HSIAO M S . A region based approach for the identification of hardware Trojans [C ] // 2008 IEEE International Workshop on Hardware-Oriented Security and Trust . 2018 .

CHEN Z , GUO S , WANG J , et al . Toward FPGA security in IoT:a new detection technique for hardware Trojans [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 4 ): 7061 - 7068 .

HE J , ZHAO Y , GUO X , et al . Hardware Trojan detection through chip-free electromagnetic side-channel statistical analysis [J ] . IEEE Transactions on Very Large Scale Integration (VLSI) Systems , 2017 , 25 ( 10 ): 2939 - 2948 .

HE J , LIU Y , YUAN Y , et al . Golden chip free trojan detection leveraging electromagnetic side channel fingerprinting [J ] . IEICE Electronics Express , 2019 , 16 ( 2 ): 20181065 - 20181065 .

NGO X T , EXURVILLE I , BHASIN S , et al . Hardware Trojan detection by delay and electromagnetic measurements [C ] // 2015 Design,Automation Test in Europe Conference Exhibition (DATE) . 2015 .

SOLL O , KORAK T , MUEHLBERGHUBER M , et al . EM-based detection of hardware Trojans on FPGAs [C ] // 2014 IEEE International Symposium on Hardware-Oriented Security and Trust (HOST) . Arlington,VA,USA:IEEE , 2014 : 84 - 87 .

TANG Y , FANG L , LI S . Activity factor based hardware Trojan detection and localization [J ] . Journal of Electronic Testing , 2019 , 35 ( 3 ): 293 - 302 .

TANG Y , LI S , FANG L , et al . Golden-chip-free hardware Trojan detection through quiescent thermal maps [J ] . IEEE Transactions on Very Large Scale Integration (VLSI) Systems , 2019 , 27 ( 12 ): 2872 - 2883 .

TANG Y , LI S , ZHANG F , et al . Thermal maps based HT detection using spatial projection transformation [J ] . IET Information Security , 2018 , 12 ( 4 ): 356 - 361 .

HAYASHI Y , KAWAMURA S . Survey of hardware trojan threats and detection [C ] // 2020 International Symposium on Electromagnetic Compatibility-EMC EUROPE . Rome,Italy:IEEE , 2020 : 1 - 5 .

NOTAROS B M . 电磁学 [M ] . 北京 : 清华大学出版社 , 2018 .

NOTAROS B M . Electromagnetics [M ] . Beijing : Tsinghua University Press , 2018 .

BOSSUET L , FISCHER V , BAYON P . Contactless transmission of intellectual property data to protect FPGA designs [C ] // 2015 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) . 2015 : 19 - 24 .

QIU H , LUO C , FANG W , et al . Noncontact time-domain EMI measurement of two adjacent traces on a PCB [C ] // 2018 IEEE Symposium on Electromagnetic Compatibility,Signal Integrity and Power Integrity (EMC,SI ＆ PI) . Long Beach,CA:IEEE , 2018 : 634 - 639 .

王品 , 赵毅强 , 刘燕江 , 等 . 基于高斯滤波和K最邻近算法融合的硬件木马电磁信息检测技术研究 [J ] . 南京大学学报(自然科学) , 2020 , 56 ( 2 ): 264 - 269 .

WANG P , ZHAO Y Q , LIU Y J , et al . Hardware Trojan electromagnetic information detection based on fusion of Gaussian filter and K-nearest neighbour algorithm [J ] . Journal of Nanjing University (Natural Science) , 2020 , 56 ( 2 ): 264 - 269 .

SUPON T M , RASHIDZADEH R . On-Chip magnetic probes for hardware Trojan prevention and detection [J ] . IEEE Transactions on Electromagnetic Compatibility , 2020 : 1 - 12 .

HE J , GUO X , MA H , et al . Runtime trust evaluation and hardware trojan detection using on-chip EM sensors [C ] // 2020 57th ACM/IEEE Design Automation Conference (DAC) . San Francisco,CA,USA:IEEE , 2020 : 1 - 6 .

MITTAL S . A Survey of architectural techniques for managing process variation [J ] . ACM Computing Surveys , 2016 , 48 ( 4 ): 1 - 29 .

RAI D , LACH J . Performance of delay-based trojan detection techniques under parameter variations [C ] // 2009 IEEE International Workshop on Hardware-Oriented Security and Trust . San Francisco,CA,USA:IEEE , 2009 : 58 - 65 .

HOU B , HE C , WANG L , et al . Hardware Trojan detection via current measurement:a method immune to process variation Effects [C ] // 2014 10th International Conference on Reliability,Maintainability and Safety (ICRMS) . Guangzhou,China:IEEE , 2014 : 1039 - 1042 .

TUZLUKOV V P . Signal Processing Noise [M ] . Boca Raton : CRC Press , 2002 .

LEE E A , MESSERSCHMITT D G . Digital communication [M ] . Boston,MA : Springer US , 1993 .

BEENAKKER C W J , BÜTTIKER M . Suppression of shot noise in metallic diffusive conductors [J ] . Physical Review B,Condensed Matter , 1992 , 46 ( 3 ): 1889 - 1892 .

GRAY R M , NEUHOFF D L . Quantization [J ] . IEEE Transactions on Information Theory , 1998 , 44 ( 6 ): 2325 - 2383 .

JARQUE C M , BERA A K . A test for normality of observations and regression residuals [J ] . International Statistical Review / Revue Internationale de Statistique , 1987 , 55 ( 2 ): 163 .

DAUBECHIES I , BATES B J . Ten lectures on wavelets [J ] . The Journal of the Acoustical Society of America , 1993 , 93 ( 3 ): 1671 .

DONOHO D L , JOHNSTONE I M . Ideal spatial adaptation by wavelet shrinkage [J ] . Biometrika , 1994 , 81 ( 3 ): 425 - 455 .

CHA B , GUPTA S K . Efficient Trojan detection via calibration of process variations [C ] // 2012 IEEE 21st Asian Test Symposium . Niigata,Japan:IEEE , 2012 : 355 - 361 .

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