KryptosChain—a blockchain-inspired, AI-combined, DNA-encrypted secure information exchange scheme

Mukherjee, P, Pradhan, C, Tripathy, HK ORCID: and Gaber, TMA ORCID: 2023, 'KryptosChain—a blockchain-inspired, AI-combined, DNA-encrypted secure information exchange scheme' , Electronics, 12 (3) , p. 493.

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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

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