A Novel Text Encryption and Decryption Scheme using the Genetic Algorithm and Residual Numbers

Agbedemnab, Peter Awon-Natemi; Baagyere, Edward Yellakuor; Daabo, Mohammed Ibrahim

doi:10.29007/zd9h

Cited by 7 publications

(11 citation statements)

References 11 publications

(14 reference statements)

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“…The algorithm for this proposed scheme in shown in Algorithm 1. It employs the text encryption and decryption from [14] and that for the image from [29]. This is further elaborated using a flowchart in Fig.…”

Section: A Algorithm For the Proposed Schemementioning

confidence: 99%

“…It is worthy of note that, there exist some works that have employed either the GA or RNS with other methods in some instances, or only the GA or RNS in some other instances in cryptography [14]. Similarly, existing works on steganography includes the one in [15], which proposed a steganographic method for hiding information in 3D images using the RNS with three moduli sets, [16] also proposed an image steganographic scheme to hide image information within another image using RNS.…”

Section: Introductionmentioning

confidence: 99%

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A Multi-Layered Data Encryption and Decryption Scheme Based on Genetic Algorithm and Residual Numbers

Baagyere

Agbedemnab²,

Qin

et al. 2020

IEEE Access

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Over the years, Steganography and Cryptography have been complementary techniques for enforcing security of digital data. The need for the development of robust multi-layered schemes to counter the exponential grow in the power of computing devices that can compromise security is critical in the design and implementation of security systems. Therefore, we propose a new combined steganographic and cryptographic scheme using the operators of genetic algorithm (GA) such selection, crossover and mutation, and some properties of the residue number system (RNS) with an appropriate fusing technique in order to embed encrypted text within images. The proposed scheme was tested using MatLab R R2017b and a CORE TM i7 processor. Simulation results show that the proposed scheme can be deployed at one level with only the stego image containing the encrypted hidden message and at another level where the stego message is further encrypted. An analysis based on standard key metrics such as visual perception and statistical methods on steganalysis and cryptanalysis show that the proposed scheme is robust, is not complex with reduced runtime and will consume less power due to the use of residue numbers when compared to similar existing schemes.

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Section: A Algorithm For the Proposed Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multi-Layered Data Encryption and Decryption Scheme Based on Genetic Algorithm and Residual Numbers

Baagyere

Agbedemnab²,

Qin

et al. 2020

IEEE Access

Self Cite

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show abstract

“…In this paper , we propose an efficient scheme that can detect and correct both single and multiple errors during computation and transmission of encoded data provided the redundant moduli are sufficient for cryptographic and steganographic schemes. The proposed scheme will also clearly show both the forward and reverse conversion processes as well as a step by step procedure to detecting and correcting possible errors in cryptographic and steganographic schemes such as the scheme by [24] with emphasis on recovering the exact original data.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This includes the redundant moduli so that possible errors in the encoding process can be detected and corrected during decoding. For the chosen moduli set, any legitimate binary number X, which is (3n − 1)-bits wide, [24] can be partitioned into three sub-blocks for easy implementation as…”

Section: Forward Conversionmentioning

confidence: 99%

Single and Multiple Error Detection and Correction using Redundant Residue Number System for Cryptographic and Stenographic Schemes

Agbedemnab

Baagyere

Daabo

2020

AJRCoS

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The possibility of errors being propagated during the encoding process of cryptographic and steganographic schemes is real due to the introduction of noise by ciphering the data from stage to stage. This real possibility therefore requires that an efficient scheme is proposed such that if after the decoding process the accurate information is not discovered, then it can be employed to detect and correct any errors in the system. The Residue Number System (RNS) by its nature is fault tolerant since an error in one digit position does not affect other digit positions; but the Redundant Residue Number System (RRNS) had been used over the years to effectively detect and correct errors. In this paper, we propose an efficient scheme that can detect and correct both single and multiple errors after and/or during computation and/or transmission provided the redundant moduli are sufficient enough. A theoretical analysis of the performance of the proposed scheme show it will be a better choice for detecting and correcting computational and transmission errors to existing similar state-of-the-art schemes.

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“…The best solution for keeping safe data transfer is the use of cryptography as a technique for encrypting and decrypting messages soany body can not interpret it, only the message sender and the receiver can. Consequently, data encryption has become an inevitable and integral part of any application in e-commerce [4][5][6]. Therefore, it is very important to encrypt data using a robust and fast encryption algorithm in order to make sure of secret transmission and data delivery to protect it from any intruder.…”

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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A Novel Text Encryption and Decryption Scheme using the Genetic Algorithm and Residual Numbers

Cited by 7 publications

References 11 publications

A Multi-Layered Data Encryption and Decryption Scheme Based on Genetic Algorithm and Residual Numbers

A Multi-Layered Data Encryption and Decryption Scheme Based on Genetic Algorithm and Residual Numbers

Single and Multiple Error Detection and Correction using Redundant Residue Number System for Cryptographic and Stenographic Schemes

Features of genetic algorithm for plain text encryption

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