A Secure Encryption Method for Computer Network Communication Data based on Improved Ant Colony Optimization Algorithm

At present, ant colony algorithm is widely used in computer network communication data security encryption methods, but traditional ant colony algorithm is limited by update mechanism and heuristic function, resulting in insufficient encryption security. Heuristic functions optimize network data features by using packet size and sensitivity as parameters to improve the targeting and efficiency of search strategies. Then, the improved ant colony algorithm is integrated with the traditional AES (Advanced Encryption Standard) encryption technology. The keys generated through algorithms not only have higher randomness, but also adjust the length and complexity of the keys according to changes in the network environment, thereby enhancing the security and adaptability of the encryption process. The randomness of the key gradually increases as the number of iterations increases, from 0.82 in 50 iterations to 0.93 in 200 iterations. The computer network communication data security encryption method based on improved ant colony optimization algorithm effectively improves the efficiency and security of the encryption algorithm, and is suitable for use in high security network communication.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/iciics63763.2024.10859968
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
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article

A Secure Encryption Method for Computer Network Communication Data based on Improved Ant Colony Optimization Algorithm

Dongsheng Xiao
E-commerce and Technology Innovations
article

A Secure Encryption Method for Computer Network Communication Data based on Improved Ant Colony Optimization Algorithm

Dongsheng Xiao
article en

Abstract

At present, ant colony algorithm is widely used in computer network communication data security encryption methods, but traditional ant colony algorithm is limited by update mechanism and heuristic function, resulting in insufficient encryption security. Heuristic functions optimize network data features by using packet size and sensitivity as parameters to improve the targeting and efficiency of search strategies. Then, the improved ant colony algorithm is integrated with the traditional AES (Advanced Encryption Standard) encryption technology. The keys generated through algorithms not only have higher randomness, but also adjust the length and complexity of the keys according to changes in the network environment, thereby enhancing the security and adaptability of the encryption process. The randomness of the key gradually increases as the number of iterations increases, from 0.82 in 50 iterations to 0.93 in 200 iterations. The computer network communication data security encryption method based on improved ant colony optimization algorithm effectively improves the efficiency and security of the encryption algorithm, and is suitable for use in high security network communication.

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