信息保障技术重点实验室,北京,100072
纸质出版:2014
移动端阅览
张鹏, 王新成, 周庆. 基于电磁辐射信号分析的芯片硬件木马检测[J]. 电子学报, 2014,42(2):341-346.
ZHANG Peng, WANG Xin-cheng, ZHOU Qing. Hardware Trojans Detection Based on Electromagnetic Emission Signals Analysis[J]. Acta Electronica Sinica, 2014, 42(2): 341-346.
集成电路芯片在制造过程中可能被嵌入恶意硬件电路,形成硬件木马.提出一种新的利用芯片电磁旁路泄漏信息的硬件木马无损检测方法.对芯片表面进行区域划分,通过随机选优算法生成硬件木马测试向量集;利用基于负熵指标的投影寻踪技术将芯片高维旁路信号投影到低维子空间,在信息损失尽量小的前提下发现原始数据中的分布特征,从而实现芯片旁路信号特征提取与识别.针对示例性高级加密标准(AES-128)木马电路的检测实验表明,该技术可以有效分辨基准芯片与硬件木马测试芯片之间的电磁信号特征差异,实现硬件木马检测.
Integrate circuits(ICs) may be inserted malicious circuits as a hardware Trojan during fabrication.A novel hardware Trojans non-destructive detection technique using the electromagnetic side channel signals of chips is proposed.The technique includes two steps.Firstly
the surface of chip is divided into smaller sub-blocks
and a suitable input vector set is generated with a special selection algorithm.Secondly
based on the projection pursuit with negative entropy index
the detector could find out the data structure enables reflect high dimension special rules without obvious information loss
so as to attain the goal of feature abstraction and identification on side channel signals of IC chips.The detection experiments against an exemplary AES-128 hardware Trojan circuit showed that the technique proposed in this paper could distinguish the difference of side channel signal's feature between the genuine chip and tested chip
and consequently could detect the existence of the hardware Trojan.
0
浏览量
1650
下载量
9
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621