A secured cryptographic system based on DNA and a hybrid key generation approach

Area of Science:

• Bio-inspired cryptography
• Computational biology
• Information security

Background:

• Cryptography is crucial for protecting information.
• Existing cryptographic methods face challenges with large datasets.
• Bio-inspired approaches offer novel solutions for data security.

Purpose of the Study:

• To propose a bio-inspired cryptographic DNA system.
• To leverage the Central Dogma of Molecular Biology for encryption and decryption.
• To enhance data security and processing efficiency.

Main Methods:

• The system employs three phases: encryption, key generation, and decryption.
• It utilizes genetic encoding, transcription, and translation principles.
• Whale Optimization Algorithm (WOA) and Bidirectional Associative Memory Neural Network (BAMNN) are used for key generation and storage.

Main Results:

• The proposed DNA cryptographic system shows adequate encoding and decryption times, even for large datasets.
• Efficiency of the WOA algorithm was explored by varying neural network parameters.
• Compared to traditional techniques, the system achieved 55% and 67% increased processing time for encryption and decryption, respectively.

Conclusions:

• The bio-inspired DNA cryptographic system offers an efficient and secure method for data protection.
• The integration of WOA and BAMNN enhances the key generation and management process.
• This approach presents a promising advancement in the field of cryptography and data security.