Distance similarity measure based profiling attacks against masked chips
نویسندگان
چکیده
The attack price of higher order side channel attacks (HOSCA) grows exponentially with the mask order. When is larger than 3, HOSCA can be inapplicable. In light this, distance similarity measure based profiling (DSMPA) proposed. DSMPA, leakage property masks characterised in a scenario and so called templates obtained. Then, DSM used to recover values templates. With recovered, effect masking disappears one use first-order side-channel secret key by masked chip. key-recovery efficiency DSMPA evaluated real scenarios, advantage over terms obvious under success rate metric. Overall, contribution this work may provide evaluators powerful tool evaluate security chips.
منابع مشابه
Hausdorff distance-based multiresolution maps applied to image similarity measure
Image comparison is widely used in image processing. For binary images that are not composed of a single shape, a local comparison can be interesting because the features are usually poor (colour) or difficult to extract (texture, forms). Thus a new binary image comparison method that uses a windowed Hausdorff distance is presented. It enables local dissimilarities to be quantified in a simple ...
متن کاملA Distance and Angle Similarity Measure Method
This article presents a distance and angle similarity measure. The integrated similarity measure takes the strengths of both the distance and direction of measured documents into account. This article analyzes the features of the similarity measure by comparing it with the traditional distance-based similarity measure and the cosine measure, providing the iso-similarity contour, investigating t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronics Letters
سال: 2022
ISSN: ['0013-5194', '1350-911X']
DOI: https://doi.org/10.1049/ell2.12621