A Study on Cryptography using Genetic Algorithm

Jhingran, Rajat; Thada, Vikas; Dhaka, Shivali

doi:10.5120/20860-3559

Cited by 14 publications

(13 citation statements)

References 13 publications

(7 reference statements)

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“…Several images were encrypted and decrypted with this approach and the experimental results showed real-time data protection with a high throughput rate. Many other genetic algorithm techniques have also been used for image encryption [23,30,32] where different operators of the genetic algorithm were applied on image pixels and a key was generated as a result to decrypt the image back to its original form. Genetic algorithm has also been used along with other techniques to improve image encryption results [11].…”

Section: Genetic Algorithm (Ga) In Cryptographymentioning

confidence: 99%

Improving Cloud Data Encryption Using Customized Genetic Algorithm

Arshad¹,

Umair²,

Munawar³

et al. 2020

IJISA

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Data Encryption is widely utilized for ensuring data privacy, integrity, and confidentiality. Nowadays, a large volume of data is uploaded to the cloud, which increases its vulnerability and adds to security breaches. These security breaches include circumstances where sensitive information is being exposed to third parties or any access to sensitive information by unauthorized personnel. The objective of this research is to propose a method for improving encryption by customizing the genetic algorithm (GA) with added steps of encryption. These added steps of encryption include the data being processed with local information (chromosome's value calculated with computer-generated random bits without human intervention). The improvement in the randomness of the key generated is based on altering the population size, number of generations, and mutation rate. The first step of encrypting is to convert sample data into binary form. Once the encryption process is complete, this binary result is converted back to get the encrypted data or cipher-text. Foremost, the GA operators (population size, number of generations, and mutation rate) are changed to determine the optimal values of each operator to bring forth a random key in the minimum possible time, then local intelligence is headed in the algorithm to further improve the outcomes. Local Intelligence consists of local information and a random bit generated in each iteration. Local Information is the current value of a parent in each iteration at the gene level. Both local information and random bit are then applied in a mathematical pattern to generate a randomized key. The local intelligence-based algorithm can operate better in terms of time with the same degree of randomness that is generated with the conventional GA technique. The result showed that the proposed method is at least 80% more efficient in terms of time while generating the secret key with the same randomness level as generated by a conventional GA. Therefore, when large data are intended to be encrypted, then using local intelligence can demonstrate to be better utilized time.

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Section: Genetic Algorithm (Ga) In Cryptographymentioning

confidence: 99%

Improving Cloud Data Encryption Using Customized Genetic Algorithm

Arshad¹,

Umair²,

Munawar³

et al. 2020

IJISA

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“…In Cryptography, many researches have been done to enhance the genetic algorithm. Jhingran and Vikas [13] presented Studies on cryptography techniques using 435 genetic algorithm. In which, cryptography system is proposed by utilized thegenetic algorithm and public key.…”

Section: Introductionmentioning

confidence: 99%

Features of genetic algorithm for plain text encryption

Abduljabbar

Hamid

Alhyani

2021

IJECE

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The data communication has been growing in present day. Therefore, the data encryption became very essential in secured data transmission and storage and protecting data contents from intruder and unauthorized persons. In this paper, a fast technique for text encryption depending on genetic algorithm is presented. The encryption approach is achieved by the genetic operators Crossover and mutation. The encryption proposal technique based on dividing the plain text characters into pairs, and applying the crossover operation between them, followed by the mutation operation to get the encrypted text. The experimental results show that the proposal provides an important improvement in encryption rate with comparatively high-speed Processing.

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“…Information security in data storage and transmission is becoming important as the fast grew of exchanging digital data in an electronic way. Cipher system considers to be the basic element for improving data security, in other hand decipher system is an important step for attack to broken secure data in all time, thus it must create a stamp for sender (cipher data) and one for who received(decipher) to guarantee the data received by a specific user [1]. Development of human intelligence with the art of cryptography has become more sophisticated in order to make information more secure.…”

Section: Introductionmentioning

confidence: 99%

Intelligent TRIPLE DES with N Round Based on Genetic Algorithm

Haithem

Lateef

2019

eijs

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This work presents an approach for the applying Triple DES (TRIPLE DES) based on using genetic algorithm by adding intelligent feature for TRIPLE DES with N round for genetic algorithm. Encapsulated cipher file with special program which send an acknowledgment to a sender to know who decipher or broken to crash it , Thus it is considered as the initial step to improve privacy. The outcome for proposed system gives a good indication that it is a promising system compared with other type of cipher system.

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A Study on Cryptography using Genetic Algorithm

Cited by 14 publications

References 13 publications

Improving Cloud Data Encryption Using Customized Genetic Algorithm

Improving Cloud Data Encryption Using Customized Genetic Algorithm

Features of genetic algorithm for plain text encryption

Intelligent TRIPLE DES with N Round Based on Genetic Algorithm

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