Comparative study of power analysis attacks based on template and KNN algorithm
Power analysis attack is still the most threatening type of side channel attack on cryptographic hardware.The template analysis attack with the attack of KNN algorithm was compared.Firstly, three dimensionality reduction methods of Pearson correlation coefficient, mutual information and maximum info...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2022-04-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022080/ |
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| _version_ | 1841528990440882176 |
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| author | Jifang JIN Chengyuan LIU Xiaohong FAN Xiaoyi DUAN Jiayu LIU |
| author_facet | Jifang JIN Chengyuan LIU Xiaohong FAN Xiaoyi DUAN Jiayu LIU |
| author_sort | Jifang JIN |
| collection | DOAJ |
| description | Power analysis attack is still the most threatening type of side channel attack on cryptographic hardware.The template analysis attack with the attack of KNN algorithm was compared.Firstly, three dimensionality reduction methods of Pearson correlation coefficient, mutual information and maximum information coefficient and distance correlation coefficient were studied.Then, the effects of the number of feature points on the attack success rate of the two power analysis attacks under the same number of power consumption curves were compared.At the same time, the effects of different dimensionality reduction techniques on the two power analysis attacks when the number of power curves is the same and different.The results show that the template attack is better than the KNN algorithm attack in running speed, memory occupation and robustness, and the KNN algorithm attack has better performance in attack success rate. |
| format | Article |
| id | doaj-art-122631acd11d4738bef27294b2bca4a4 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2022-04-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-122631acd11d4738bef27294b2bca4a42025-01-15T03:27:00ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012022-04-013812112959810443Comparative study of power analysis attacks based on template and KNN algorithmJifang JINChengyuan LIUXiaohong FANXiaoyi DUANJiayu LIUPower analysis attack is still the most threatening type of side channel attack on cryptographic hardware.The template analysis attack with the attack of KNN algorithm was compared.Firstly, three dimensionality reduction methods of Pearson correlation coefficient, mutual information and maximum information coefficient and distance correlation coefficient were studied.Then, the effects of the number of feature points on the attack success rate of the two power analysis attacks under the same number of power consumption curves were compared.At the same time, the effects of different dimensionality reduction techniques on the two power analysis attacks when the number of power curves is the same and different.The results show that the template attack is better than the KNN algorithm attack in running speed, memory occupation and robustness, and the KNN algorithm attack has better performance in attack success rate.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022080/power analysis attacktemplate attackKNN algorithmfeature point |
| spellingShingle | Jifang JIN Chengyuan LIU Xiaohong FAN Xiaoyi DUAN Jiayu LIU Comparative study of power analysis attacks based on template and KNN algorithm Dianxin kexue power analysis attack template attack KNN algorithm feature point |
| title | Comparative study of power analysis attacks based on template and KNN algorithm |
| title_full | Comparative study of power analysis attacks based on template and KNN algorithm |
| title_fullStr | Comparative study of power analysis attacks based on template and KNN algorithm |
| title_full_unstemmed | Comparative study of power analysis attacks based on template and KNN algorithm |
| title_short | Comparative study of power analysis attacks based on template and KNN algorithm |
| title_sort | comparative study of power analysis attacks based on template and knn algorithm |
| topic | power analysis attack template attack KNN algorithm feature point |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022080/ |
| work_keys_str_mv | AT jifangjin comparativestudyofpoweranalysisattacksbasedontemplateandknnalgorithm AT chengyuanliu comparativestudyofpoweranalysisattacksbasedontemplateandknnalgorithm AT xiaohongfan comparativestudyofpoweranalysisattacksbasedontemplateandknnalgorithm AT xiaoyiduan comparativestudyofpoweranalysisattacksbasedontemplateandknnalgorithm AT jiayuliu comparativestudyofpoweranalysisattacksbasedontemplateandknnalgorithm |