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ic:laboratoare:07 [2016/11/16 20:04]
marios.choudary
ic:laboratoare:07 [2018/11/05 14:25] (current)
dan.dragan
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   - Obtain a large number (thousands) of leakage samples for that target, when processing different plaintexts   - Obtain a large number (thousands) of leakage samples for that target, when processing different plaintexts
   - Choose a suitable leakage model (usually the hamming weight of the target value)   - Choose a suitable leakage model (usually the hamming weight of the target value)
-  - For each possible key candidate (e.g. all values from 0 to 255), compute [[http://​en.wikipedia.org/​wiki/​Pearson_product-moment_correlation_coefficient | Person's correlation coefficient]] between the leakage model estimate for that key candidate and the leakage traces.+  - For each possible key candidate (e.g. all values from 0 to 255), compute [[http://​en.wikipedia.org/​wiki/​Pearson_product-moment_correlation_coefficient | Pearson's correlation coefficient]] between the leakage model estimate for that key candidate and the leakage traces.
   - Decide for the key that gives maximum correlation   - Decide for the key that gives maximum correlation
  
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 Compute the success rate (SR) for different amounts of leakage traces (e.g. $N \in \{10, 20, 50, 100, 200, 500, 1000\}$) and then plot the SR as a function of N. Compute the success rate (SR) for different amounts of leakage traces (e.g. $N \in \{10, 20, 50, 100, 200, 500, 1000\}$) and then plot the SR as a function of N.
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ic/laboratoare/07.1479319444.txt.gz · Last modified: 2016/11/16 20:04 by marios.choudary
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