Enhanced DNA Encoding Scheme in Honey Encryption

Authors

  • Nwe Ni Khin Yangon Technological University, Computer Engineering and Information Technology, Republic of the Union of Myanmar
  • Thanda Win Yangon Technological University, Computer Engineering and Information Technology, Republic of the Union of Myanmar

Keywords:

DNA Algorithm, Honeyword Generation, Data Lookup Table, Brute Force Attack, Security

Abstract

Nowadays, Security plays a vital role in protecting sensitive data from attackers in many organizations. Many researchers have developed security research to prevent attacks. Password-based encryption (PBE) is used to prevent an attacker from attempting to break into the password file. However, the current PBE is vulnerable because attackers can easily access keys by attempting again and again. The use of weak passwords in PBE is an ongoing problem. At present, Honey Encryption (HE) is an encryption method that overcomes (PBE) vulnerabilities. It is resistant to brute force attacks and allows encryption of data using minimal keys. HE generates a plausible message that looks real when the attacker decrypts with an incorrect key. Deoxyribo Nucleic Acid (DNA) is a new way of computing used in medical research. In this paper, DNA sequences are generated as the key distribution of Honey Encryption. The main idea of the paper is five random data lookup tables in the DNA encoding scheme in order to be more secure. It will be shown as the experimental results the same message encryption with the different passwords and the encryption of the different messages with the same password. In this system, diagnosis symptoms such as Influenza, Toothpaste, etc., will be used as the input messages of the DNA scheme. Compared to the results of only one data lookup table, it can be seen that the result of five data lookup tables in the key generation of DNA encoding sequence is more secure and less execution time. According to the experimental results, the proposed method is more secure than the existing method.

References

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Published

2022-04-07

How to Cite

Nwe Ni Khin, & Thanda Win. (2022). Enhanced DNA Encoding Scheme in Honey Encryption. International Journal of Computer (IJC), 42(1), 91–104. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/1921

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