2022
DOI: 10.11591/ijece.v12i3.pp2756-2764
|View full text |Cite
|
Sign up to set email alerts
|

Data protection based neural cryptography and deoxyribonucleic acid

Abstract: The need to a robust and effective methods for secure data transferring makes the more credible. Two disciplines for data encryption presented in this paper: machine learning and deoxyribonucleic acid (DNA) to achieve the above goal and following common goals: prevent unauthorized access and eavesdropper. They used as powerful tool in cryptography. This paper grounded first on a two modified Hebbian neural network (MHNN) as a machine learning tool for message encryption in an unsupervised method. These two mod… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(5 citation statements)
references
References 13 publications
0
4
0
Order By: Relevance
“…The decryption procedure involved the reverse of the encryption process. In [16], two distinct disciplines, machine learning and DNA-based encryption, were combined. A modified Hebbian neural network was used for message encryption, and a ciphering neural network was employed to encode plaintext utilizing LNN-generated keys and DNA techniques to enhance data confusion and compression.…”
Section: Related Workmentioning
confidence: 99%
“…The decryption procedure involved the reverse of the encryption process. In [16], two distinct disciplines, machine learning and DNA-based encryption, were combined. A modified Hebbian neural network was used for message encryption, and a ciphering neural network was employed to encode plaintext utilizing LNN-generated keys and DNA techniques to enhance data confusion and compression.…”
Section: Related Workmentioning
confidence: 99%
“…The authors succeeded in improving an algorithm to reduce time complexity and yield effective outcomes in  ISSN: 2302-9285 speedup, running time and high data volume parallelization efficiency. Kadum et al [16] proposed a system that avoided unofficial access and spy by using dual adapted Hebbian neural network for encrypting data. Machine learning and deoxyribonucleic acid (DNA) were used to compress and growth data confusion.…”
Section: Introductionmentioning
confidence: 99%
“…Machine learning and deoxyribonucleic acid (DNA) were used to compress and growth data confusion. The method succeeded by transferring data in a secure manner and short time [16]. In the same year, Maolood et al [17] suggested a lightweight stream cipher method.…”
Section: Introductionmentioning
confidence: 99%
“…DNA cryptography is a method that uses DNA as an information carrier to protect sensitive information. In biological science [19], DNA is the repository of genetic information that is passed from one generation to the next [20]. This genetic information is what makes each individual unique [20].…”
Section: Introductionmentioning
confidence: 99%
“…In biological science [19], DNA is the repository of genetic information that is passed from one generation to the next [20]. This genetic information is what makes each individual unique [20]. DNA cryptography is inspired by biological processes such as DNA [21] replication and transcription, which are used to carry out processes in living cells and are responsible for the propagation of genetic information from one generation to the next [22].…”
Section: Introductionmentioning
confidence: 99%