Enhancement of Computer Network Communication Security Encryption System Based on Ant colony optimization Algorithm

In the digital era, the exponential growth of computer networks has heightened the need for robust communication security to protect sensitive data from breaches and cyber attacks. This research explores the enhancement of network communication security by developing an encryption system inspired by the Ant Colony Optimization (ACO) algorithm. ACO, a bio-inspired met heuristic, is particularly effective in solving combinatorial optimization problems, making it well-suited for the dynamic and complex nature of cryptographic key generation and data encryption. This research contributes to the field by showcasing how nature-inspired algorithms can revolutionize encryption systems, providing a secure and efficient solution for modern network communication challenges. The system ensures dynamic and adaptive encryption by continuously generating robust keys that resist brute-force attacks while minimizing computational overhead. Additionally, ACO optimizes data transmission routes to reduce latency and improve network efficiency without compromising security. Experimental results demonstrate that the ACO-based encryption system outperforms traditional methods in terms of encryption strength, computational efficiency, and adaptability to network changes.