The invention relates to the field of
information security passwords, and discloses a
password security measurement method based on a large
language model and a multi-side channel
differentiator, which comprises the following steps: analyzing the characteristics of SPA according to simple energy, and designing various side channel differentiators such as segmentation, preprocessing, data statistics, dimension reduction, clustering and continuous rule limitation based on common analysis means; when the
password equipment runs a target
algorithm, acquiring
side information data such as illumination, energy or
electromagnetism in the running process of the
password equipment; based on the collected
side information data, different side channel distinguishers are selected, expert version cues with side
channel analysis knowledge are formed through fusion, and analysis targets and tasks are described. According to the method, security automatic measurement can be carried out on password equipment with multiple protection means such as
random delay and
mask by utilizing a general large
language model without expert participation or professional
analysis tools, and compared with a common SPA
security measurement method, the
false alarm rate gt is reduced under the condition of the same sample size; the sample size is reduced by gt under the same accuracy rate; and therefore, the accuracy of the side channel
security measurement is greatly improved, and the cost of resources such as labor and the like is reduced.