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Multiple Rounds Aware Power Analysis Attack for a Lightweight Cipher SIMECK

Authors: Masaya Yoshikawa; Yusuke Nozaki; Kensaku Asahi;

Multiple Rounds Aware Power Analysis Attack for a Lightweight Cipher SIMECK

Abstract

Information obtained through sensors and accumulated in wearable computers can be used as big data. To ensure the safety of this information, the security of wearable computers has become more important than ever before. However, the AES that has been widely used cannot be applied to wearable computers due to the size of the embedment area in those devices. Therefore, lightweight ciphers that can be embedded using small areas have begun to be studied. When a cryptographic circuit is used, it is extremely important to examine the measures taken to safeguard against power analysis attack. However, no study has reported on the attack against SIMECK which can be embedded in the smallest-scale circuit among lightweight ciphers. The present study proposes a method for performing power analysis attacks against SIMECK. To our knowledge, this is the first power analysis attack on SIMECK. Experiments using FPGA proved the validity of the proposed method.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
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