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321074

A New DNA-Based Approach for Enhancing AES using Sequence Alignment and Dynamic Multi Modeling Techniques

Article

Last updated: 28 Dec 2024

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Abstract

The pace of growth in information technology stimulates the information security field to rival to keep up at the same pace. One of the most common encryption techniques is the Advanced Encryption Standard and, despite its` good reputation, the analysis in this work showed some limitations in its procedures. Indeed, as a response to this scarcity, many approaches have been proposed, and many other exertions have been spent. One promising consequence is bio-inspired cryptography that emerged with the progress of the DNA computing field. In this paper, a new enhanced method will be proposed using properties of bio-inspired cryptography, bioinformatics, and conventional cryptography to produce a more complex, robust, and less prone to attacks procedures. The contribution presented in this work can be epitomized in three main aspects. First, making the AES internal steps dynamic and key dependent. Second, modifying the Shift-Row step in the AES by involving the Sequence Alignment algorithm. Third, a key exchange technique inherited from the process of DNA fingerprint. The presented algorithm has been built on a DNA basis to demonstrate the capability of applying such a complex system on a promising biological environment such as a molecular computer. It must be clarified that the perception is not to negate or replace the mathematical and theoretical basis of the traditional cryptography, but to combine it with the sophisticated biological characteristics to produce a more powerful cryptographic technique, also to create a bridge between the existing and the new technologies. The experimental analysis showed remarkable enhancement in testing the modified Shift-Row function detached and the encryption strength added by the multi-model layer. Theoretically, the overall modified algorithm showed a significant advance over the classical AES in the resistance against linear and differential cryptanalysis which reveals a promising future of bio-inspired cryptographic techniques.

DOI

10.21608/mjcis.2020.321074

Keywords

Bio-inspired Cryptography, Advanced encryption standard, DNA-Based Cryptography, Encryption, security

Authors

First Name

Abdulla

Last Name

Mahmoud

MiddleName

-

Affiliation

Information Technology Dept. FCIS, Mansoura University, Mansoura, Egypt

Email

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Orcid

-

First Name

Mohammed

Last Name

Elmogy

MiddleName

-

Affiliation

Information Technology Dept. FCIS, Mansoura University, Mansoura, Egypt

Email

melmogy@mans.edu.eg

City

-

Orcid

0000-0002-2504-6051

First Name

Ahmad

Last Name

Atwan

MiddleName

-

Affiliation

Information Technology Dept. FCIS, Mansoura University, Mansoura, Egypt

Email

-

City

-

Orcid

-

First Name

Hassan

Last Name

Soliman

MiddleName

-

Affiliation

Information Technology Dept. FCIS, Mansoura University, Mansoura, Egypt

Email

hsoliman@mans.edu.eg

City

-

Orcid

-

Volume

16

Article Issue

2

Related Issue

43903

Issue Date

2020-12-01

Receive Date

2023-10-11

Publish Date

2020-12-01

Page Start

35

Page End

46

Print ISSN

2090-1666

Online ISSN

2090-1674

Link

https://mjcis.journals.ekb.eg/article_321074.html

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https://mjcis.journals.ekb.eg/service?article_code=321074

Order

321,074

Type

Original Research Articles.

Type Code

1,784

Publication Type

Journal

Publication Title

Mansoura Journal for Computer and Information Sciences

Publication Link

https://mjcis.journals.ekb.eg/

MainTitle

A New DNA-Based Approach for Enhancing AES using Sequence Alignment and Dynamic Multi Modeling Techniques

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Article

Created At

28 Dec 2024