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JCR Impact Factor: 0.700
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SCOPUS CiteScore: 1.8
Issues per year: 3
Current issue: Feb 2025
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2025-May-01
Starting from 2025, our Journal will appear 3 times a year. Issues will be published in February, June, and October.

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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  1/2025 - 9
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A Lightweight Symmetric DNA Encryption Algorithm Inspired by Protein Synthesis (SDEAP) for IoT Devices

DJAA, D. See more information about DJAA, D. on SCOPUS See more information about DJAA, D. on IEEExplore See more information about DJAA, D. on Web of Science, MEKKAOUI, K. See more information about  MEKKAOUI, K. on SCOPUS See more information about  MEKKAOUI, K. on SCOPUS See more information about MEKKAOUI, K. on Web of Science, BOUKLI-HACENE, S. See more information about BOUKLI-HACENE, S. on SCOPUS See more information about BOUKLI-HACENE, S. on SCOPUS See more information about BOUKLI-HACENE, S. on Web of Science
 
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Download PDF pdficon (1,372 KB) | Citation | Downloads: 490 | Views: 590

Author keywords
IoT, lightweight cryptography, symmetric key encryption, DNA cryptography, Contiki-Cooja simulator

References keywords
cryptography(13), systems(11), internet(9), cryptographic(8), security(7), computing(7), encryption(6), sensor(5), science(5), information(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2025-02-28
Volume 25, Issue 1, Year 2025, On page(s): 79 - 90
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2025.01009
SCOPUS ID: 86000301418

Abstract
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Security and confidentiality of data generated and exchanged between IoT devices is essential and becomes an important issue that needs further research. IoT resource-constrained devices are often characterized by a limited computation, small memory size and limited battery. So it is difficult to use traditional encryption methods that require more computational power. In this paper, a new lightweight symmetric DNA encryption algorithm inspired by protein synthesis (SDEAP) is proposed. It is inspired by central dogma of molecular biology and uses the randomness of DNA chromosomes to extract a strong OTP key. We exploited features found during protein synthesis to design an algorithm containing simple steps with complex security levels, making the resulting ciphertext difficult to decipher. Plaintext and key are both converted into proteins. Then a new XOR operation between proteins is performed to produce ciphertext in protein form. Unlike other works we propose another encryption level to transmit securely the generated keys with ciphertext in an optimal size message. Cooja simulator available in Contiki OS is used to simulate SDEAP in IoT environment. The findings show the effectiveness of SDEAP in terms of time and power consumption that is less by 60% and 93%, compared to SIMON and PRESENT respectively.


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Faculty of Electrical Engineering and Computer Science
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