Author(s)

Nailin Bai ¹

Affiliation(s)

¹ School of Mechanical and Electrical Engineering, Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China

Corresponding Author

Nailin Bai

ABSTRACT

With the rapid development of artificial intelligence technology, its application in information transmission optimization and security protection has shown great potential. This paper systematically analyzes the characteristics of different transmission methods and the critical role of AI in environmental perception and resource scheduling. It proposes an intelligent decision model based on deep learning and reinforcement learning, which significantly improves the adaptability and efficiency of the transmission system. In terms of security, by introducing anomaly detection, dynamic key management, and multi-party collaboration mechanisms, the system's ability to resist diverse threats, including eavesdropping, tampering, and denial of service, is effectively enhanced. Combined with adaptive strategy adjustment, a stable and robust security system is realized, providing theoretical support and technical guarantees for future intelligent communication networks. Research indicates that AI-driven transmission optimization and security systems have broad application prospects in improving communication performance and ensuring information security, injecting new impetus into the intelligent development of future networks.

KEYWORDS

Artificial Intelligence, Information Transmission Optimization, Security Protection, Deep Learning, Reinforcement Learning

CITE THIS PAPER

Nailin Bai, Research on Information Transmission Method Selection and Security Protection Based on Artificial Intelligence. Journal of Artificial Intelligence Practice (2025) Vol. 8: 30-36. DOI: http://dx.doi.org/10.23977/jaip.2025.080305.

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