Data Communication Security in the AI Era: Number Theory Foundation and Address Information Desensitization Technology

Abstract

With the in-depth penetration of artificial intelligence technology, data communication security has become a core issue for ensuring the trusted operation of AI systems. This article focuses on the theoretical supporting role of number theory fundamentals in cryptography and the practical value of address information desensitization technology in the field of privacy protection. By analyzing the strengthening mechanism of public key cryptography system security based on number theory principles and combining the classification system and implementation path of address desensitization technology, the key technical characteristics of data communication security in the AI era are revealed. Research shows that the number theory foundation provides mathematical prudence for communication encryption, while address desensitization technology achieves a balance between privacy protection and data availability through dynamic policy adaptation. Together, they form a dual defense line for the security of AI data communication.