تحسين الخوارزمية الجينية المدمجة بالذكاء المحلي لتوليد مفاتيح تشفير آمنة في بيئات الحوسبة السحابية

Abstract

In light of the increasing reliance on cloud computing technologies, there is a pressing need to protect sensitive data from the growing threat of cyberattacks. Encryption thus represents one of the most effective solutions for ensuring the confidentiality and security of cloud-based data. This study proposes an innovative hybrid framework that combines the traditional Genetic Algorithm (GA) with the principles of a Local Intelligence Algorithm, which utilizes a blend of local and stochastic information within a mathematical structure. The goal is to enhance the performance of the GA in generating strong and random encryption keys—whether conventional binary keys or DNA-based keys—that can be reliably employed in modern cryptographic schemes.

The proposed hybrid approach was implemented in two scenarios:

In the first scenario, the modified GA was used to generate binary encryption keys, whose quality was evaluated in terms of randomness and uniqueness. The results showed that 98.7% of the 64-bit keys achieved the maximum entropy value (1.0), 95% achieved an average Hamming distance of 32.02, and exhibited an extremely low correlation coefficient (−0.0005), indicating that the keys were highly random, unique, and robust against security attacks.

In the second scenario, the same approach was applied to enhance weak, randomly generated DNA-based encryption keys using nucleotide bases A, T, C, and G. The results demonstrated that the proposed method contributed to reducing the need for additional strengthening operations by gradually improving the genetic fitness across successive generations.

Overall, the findings indicate that the proposed hybrid methodology clearly outperforms traditional approaches in generating secure, random, and unique keys. It significantly improves cryptographic key quality and enhances resistance against statistical and brute-force attacks, making it suitable for deployment in modern encryption systems, including cloud security and DNA cryptography.