Open AccessA cryptanalytic attack of simplified-AES using ant colony optimization
Author(s) -
Hicham Grari,
Ahmed Azouaoui,
Khalid Zine-Dine
Publication year - 2019
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v9i5.pp4287-4295
Subject(s) - ant colony optimization algorithms , computer science , plaintext , metaheuristic , cryptanalysis , heuristic , mathematical optimization , algorithm , cryptography , encryption , mathematics , artificial intelligence , computer security
Ant colony Optimization is a nature-inspired meta-heuristic optimization algorithm that gained a great interest in resolution of combinatorial and numerical optimization problems in many science and engineering domains. The aim of this work was to investigate the use of Ant Colony Optimization in cryptanalysis of Simplified Advanced Encryption Standard (S-AES), using a known plaintext attack. We have defined the essential components of our algorithm such as heuristic value, fitness function and the strategy to update pheromone trails. It is shown from the experimental results that our proposed algorithm allow us to break S-AES cryptosystem after exploring a minimum search space when compared with others techniques and requiring only two plaintext-ciphertext pairs.