An efficient mechanism to generate dynamic keys based on genetic algorithm

Chunka, Chukhu; Goswami, Rajat Subhra; Banerjee, Subhasish

doi:10.1002/spy2.37

Cited by 7 publications

(7 citation statements)

References 17 publications

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“…Dynamic keys have been used in several encryption approaches to overcome multiround computational complexity [28][29][30]. These approaches follow a dynamic structure where the structure of all cipher primitives, such as substitution and permutation tables, changes depending on the dynamic key, which allows a reduction in the number of rounds, leading to a reduction in computational overhead without lowering the security level [28].…”

Section: Background and Related Workmentioning

confidence: 99%

E-ART: A New Encryption Algorithm Based on the Reflection of Binary Search Tree

2021

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Data security has become crucial to most enterprise and government applications due to the increasing amount of data generated, collected, and analyzed. Many algorithms have been developed to secure data storage and transmission. However, most existing solutions require multi-round functions to prevent differential and linear attacks. This results in longer execution times and greater memory consumption, which are not suitable for large datasets or delay-sensitive systems. To address these issues, this work proposes a novel algorithm that uses, on one hand, the reflection property of a balanced binary search tree data structure to minimize the overhead, and on the other hand, a dynamic offset to achieve a high security level. The performance and security of the proposed algorithm were compared to Advanced Encryption Standard and Data Encryption Standard symmetric encryption algorithms. The proposed algorithm achieved the lowest running time with comparable memory usage and satisfied the avalanche effect criterion with 50.1%. Furthermore, the randomness of the dynamic offset passed a series of National Institute of Standards and Technology (NIST) statistical tests.

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Section: Background and Related Workmentioning

confidence: 99%

E-ART: A New Encryption Algorithm Based on the Reflection of Binary Search Tree

2021

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“…One of the uses of computer technologies in human lives is to protect private information from random access by unauthorized people and cryptographic techniques is one of the methods used to do this task [1,2].…”

Section: Introductionmentioning

confidence: 99%

Key Generation for Vigenere Ciphering Based on Genetic Algorithm

Hussein

Ayoob

2022

JUBPAS

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Cryptography is a science securing of information. Encryption requires impregnable keys to encrypt or decrypt data these keys should be unpredictable and not easily to break. In this research we use genetic algorithm to generate keys for vigenere cipher. The best key is used to perform encryption. The keys created by genetic algorithm are tested for randomness by using the entropy test. The entropy calculation shows that randomness of key generated based on genetic processing is better than chosen key in the classical vigenere cipher.

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“…In either case, the fact that the document is encrypted does not prevent unauthorized people from accessing it, but it does ensure that they cannot understand what they see. In addition to many encryption algorithms, the genetic algorithm GA, or its genetic operations, is used in a variety of aspects of data security [1,[3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Protein Motifs to Hide GA-Based Encrypted Data

Mawla

Khafaji

2022

Scientific Programming

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The arms of the Internet octopus have reached the ends of the planet. As it has become indispensable in our daily lives, huge amounts of information are transmitted through this network, and it is growing momentarily, which has led to an increase in the number of attacks on this information. Keeping the security of this information has become a necessity today. Therefore, the scientists of cryptography and steganography have seen a great and rapid development in the previous years to the present day, where various security and protection techniques have been used in these two technologies. In this research, it was emphasized to secure the confidentiality and security of the transmitted data between the sending and receiving parties by using both techniques of encryption and steganography. In contrast, where genetic algorithms and logic gates are exploited in an encryption process, in an unprecedented approach, protein motifs are used to mask the encoded message, gaining more dispersion because there are 20 bases used to represent the protein. The real payload gained ranges between 0.8 and 2.666, which outperforms the algorithms that depend on DNA sequences.

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An efficient mechanism to generate dynamic keys based on genetic algorithm

Cited by 7 publications

References 17 publications

E-ART: A New Encryption Algorithm Based on the Reflection of Binary Search Tree

E-ART: A New Encryption Algorithm Based on the Reflection of Binary Search Tree

Key Generation for Vigenere Ciphering Based on Genetic Algorithm

Protein Motifs to Hide GA-Based Encrypted Data

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