Profiling Power Analysis Attack Based on Multi-Layer Perceptron Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU115950" target="_blank" >RIV/00216305:26220/15:PU115950 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-15765-8_18" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-15765-8_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-15765-8_18" target="_blank" >10.1007/978-3-319-15765-8_18</a>
Alternative languages
Result language
angličtina
Original language name
Profiling Power Analysis Attack Based on Multi-Layer Perceptron Network
Original language description
In 2013, an innovative method of power analysis was presented. Realized experiments proved that the proposed method based on Multi-Layer Perceptron (MLP) can provide almost 100 percent success rate. This description based on the first-order success rate is not appropriate enough. Moreover, the above mentioned works contain other lacks: the MLP has not been compared with other well-known attacks, an adversary uses too many points of power trace and a general description of the MLP method was not provided. In this paper, we eliminate these weaknesses by introducing the first fair comparison of power analysis attacks based on the MLP and templates. The comparison is accomplished by using the identical data sets, number of interesting points and guessing entropy as a metric. The first data set created contains the power traces of an unprotected AES implementation in order to classify the secret key stored. The second and third data sets were created independently from public available power traces corresponding to a masked AES implementation (DPA Contest v4). Secret offset is revealed depending on the number of interesting points and power traces in this experiment. Moreover, we create a general description of the MLP attack.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Computational Problems in Science and Engineering
ISBN
978-3-319-15764-1
Number of pages of the result
25
Pages from-to
1-25
Number of pages of the book
491
Publisher name
Springer International Publishing
Place of publication
Switzerland 2015
UT code for WoS chapter
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