Mukherjee, P, Pradhan, C, Tripathy, HK 
ORCID: https://orcid.org/0000-0002-4960-6228 and Gaber, TMA ORCID: https://orcid.org/0000-0003-4065-4191
2023,
'KryptosChain—a blockchain-inspired, AI-combined, DNA-encrypted secure information exchange scheme'
, Electronics, 12 (3)
, p. 493.
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Abstract
Today’s digital world necessitates the adoption of encryption techniques to ensure secure peer-to-peer communication. The sole purpose of this paper is to conglomerate the fundamentals of Blockchain, AI (Artificial Intelligence) and DNA (Deoxyribonucleic Acid) encryption into one proposed scheme, KryptosChain, which is capable of providing a secure information exchange between a sender and his intended receiver. The scheme firstly suggests a DNA-based Huffman coding scheme, which alternatively allocates purines—Adenine (A) and Guanine (G), and pyrimidines—Thymine (T) and Cytosine (C) values, while following the complementary rule to higher and lower branches of the resultant Huffman tree. Inculcation of DNA concepts makes the Huffman coding scheme eight times stronger than the traditional counterpart based on binary—0 and 1 values. After the ciphertext is obtained, the proposed methodology next provides a Blockchain-inspired message exchange scheme that achieves all the principles of security and proves to be immune to common cryptographic attacks even without the deployment of any smart contract, or possessing any cryptocurrency or arriving at any consensus. Lastly, different classifiers were engaged to check the intrusion detection capability of KryptosChain on the NSL-KDD dataset and AI fundamentals. The detailed analysis of the proposed KryptosChain validates its capacity to fulfill its security goals and stands immune to cryptographic attacks. The intrusion possibility curbing concludes that the J84 classifier provides the highest accuracy of 95.84% among several others as discussed in the paper.
| Item Type: | Article |
|---|---|
| Contributors: | Canavero, F (Editor) |
| Schools: | Schools > School of Computing, Science and Engineering |
| Journal or Publication Title: | Electronics |
| Publisher: | MDPI |
| ISSN: | 2079-9292 |
| SWORD Depositor: | Publications Router |
| Depositing User: | Publications Router |
| Date Deposited: | 21 Feb 2023 09:38 |
| Last Modified: | 21 Feb 2023 09:45 |
| URI: | https://usir.salford.ac.uk/id/eprint/66368 |
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