A Review of Computational Swarm Intelligence Techniques for Solving Crypto Problems

Din, Maiya; Pal, Saibal K.; Muttoo, Sunil Kumar

doi:10.1007/978-981-13-0589-4_18

Cited by 9 publications

(3 citation statements)

References 13 publications

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“…An attempt is made here to optimize both the membership functions and the fuzzy controller's weighting coefficients through the PSO algorithm. PSO algorithm, inspired by the sociological behavior of birds and the mass movements of fish, is an intelligent and prevalent method that has been used in a wide range of optimization problems over the years [41]. This method's mechanism is based on the best experience of each particle and the best experience between all particles and by a specific objective function.…”

Section: The Anfis-pso Controllermentioning

confidence: 99%

System identification using NARX and centrifugal compressor control through the intelligent, active method—Case study: K‐250 centrifugal compressor

Khosravi

Chatraei

Shahgholian

et al. 2022

Asian Journal of Control

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Surge and constant pressure are some of the most critical issues in compressor control. In this paper, the problem of the surge and constant pressure in the presence of environmental disturbances is solved. Proposed design for control system based on proportional-integral controllers, adaptive neuro-fuzzy inference system (FIS), and particle swarm optimized neural fuzzy and for modeling neural network strategy fuzzy nonlinear automatic regression with external input is used. Based on this, for modeling, practical and real data are extracted from the K-250 compressor of Isfahan Steel Company. In the adaptive neuro-fuzzy inference system-particle swarm optimization (ANFIS-PSO)

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Section: The Anfis-pso Controllermentioning

confidence: 99%

System identification using NARX and centrifugal compressor control through the intelligent, active method—Case study: K‐250 centrifugal compressor

Khosravi

Chatraei

Shahgholian

et al. 2022

Asian Journal of Control

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“…Ali and Mahmod [29] introduce a hybrid technique of Bees Algorithm (BA) SA for the cryptanalysis of simple substitution cipher. In the work which is carried out by Din et al [30], they introduced some of the theoretical parts of stochastic algorithms and provided detailed cryptanalysis problems such as Stream ciphers and Block ciphers. In addition, Civicioglu and Besdok [31] analyzed statistically the numerical optimization problem successes of the CS, PSO, DE and ABC algorithms.…”

Section: Related Workmentioning

confidence: 99%

A Binomial Crossover Based Artificial Bee Colony Algorithm for Cryptanalysis of Polyalphabetic Cipher

Sabonchi

Akay

2020

Teh. vjesn.

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“…Swarm intelligence (SI) is an important branch of artificial intelligence 4-6 . The SI is applied for finding solution of many practical and complex optimization problems, and to find an approximate optimal solution of a crypto problem, a suitable Computational Swarm algorithm is applied 7 . Cryptanalysis of any cipher system can be formulated as an optimization task.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Computational Intelligence based Technique for Automatic Cryptanalysis of Playfair Ciphers

et al. 2020

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The Playfair cipher is a symmetric key cryptosystem-based on encryption of digrams of letters. The cipher shows higher cryptanalytic complexity compared to mono-alphabetic cipher due to the use of 625 different letter-digrams in encryption instead of 26 letters from Roman alphabets. Population-based techniques like Genetic algorithm (GA) and Swarm intelligence (SI) are more suitable compared to the Brute force approach for cryptanalysis of cipher because of specific and unique structure of its Key Table. This work is an attempt to automate the process of cryptanalysis using hybrid computational intelligence. Multiple particle swarm optimization (MPSO) and GA-based hybrid technique (MPSO-GA) have been proposed and applied in solving Playfair ciphers. The authors have attempted to find the solution key applied in generating Playfair crypts by using the proposed hybrid technique to reduce the exhaustive search space. As per the computed results of the MPSO-GA technique, correct solution was obtained for the Playfair ciphers of 100 to 200 letters length. The proposed technique provided better results compared to either GA or PSO-based technique. Furthermore, the technique was also able to recover partial English text message for short Playfair ciphers of 80 to 120 characters length.

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A Review of Computational Swarm Intelligence Techniques for Solving Crypto Problems

Cited by 9 publications

References 13 publications

System identification using NARX and centrifugal compressor control through the intelligent, active method—Case study: K‐250 centrifugal compressor

System identification using NARX and centrifugal compressor control through the intelligent, active method—Case study: K‐250 centrifugal compressor

A Binomial Crossover Based Artificial Bee Colony Algorithm for Cryptanalysis of Polyalphabetic Cipher

A Hybrid Computational Intelligence based Technique for Automatic Cryptanalysis of Playfair Ciphers

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