The reported power analysis attacks on hardware
implementations of the MICKEY family of streams ciphers
require a large number of power traces. The primary motivation
of our work is to break an implementation of the cipher when
only a limited number of power traces can be acquired by
an adversary. In this paper, we propose a novel approach to
mount a Template attack (TA) on MICKEY-128 2.0 stream cipher
using Particle Swarm Optimization (PSO) generated initialization
vectors (IVs). In addition, we report the results of power analysis
against a MICKEY-128 2.0 implementation on a SASEBO-GII
board to demonstrate our proposed attack strategy. The captured
power traces were analyzed using Least Squares Support Vector
Machine (LS-SVM) learning algorithm based binary classifiers
to segregate the power traces into the respective Hamming
distance (HD) classes. The outcomes of the experiments reveal
that our proposed power analysis attack strategy requires a
much lesser number of IVs compared to a standard Correlation
Power Analysis (CPA) attack on MICKEY-128 2.0 during the
key loading phase of the cipher.
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