An analysis method for improvement of coefficient consumption of related coefficients

HaoRan Gong; TaiLiang Ju; Hao Chi

doi:10.1117/12.2683293

26 June 2023 An analysis method for improvement of coefficient consumption of related coefficients

HaoRan Gong, TaiLiang Ju, Hao Chi

Proceedings Volume 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023); 127210V (2023) https://doi.org/10.1117/12.2683293
Event: 2023 2nd International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2023, Chengdu, China

Abstract

Side channel analysis (SCA) is an emerging password analysis method for the password chip. The physical information leaked by monitoring the password algorithm on the physical chip will be obtained by processing the obtained signal to extract the sensitive information in the encrypted device through processing analysis. In recent years, the rapid development of power consumption analysis methods in SCA has become a powerful side channel attack method. Therefore, the ability to protect password equipment from SCA's infringement has gradually become the focus of the information security industry. This article first elaborates the research status of the field of side channel analysis, introduces many problems in the field of side channel analysis, and proposes an improved power consumption analysis method for power analysis attacks under the condition of less power trace analysis. This method has successfully reduced the number of power trace points required by the recovery of the correct key in the AES-128 encryption algorithm encryption, and can still ensure a higher classification accuracy in the case of a small amount of power traces.

Citation Download Citation

HaoRan Gong, TaiLiang Ju, and Hao Chi "An analysis method for improvement of coefficient consumption of related coefficients", Proc. SPIE 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 127210V (26 June 2023); https://doi.org/10.1117/12.2683293

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