Adaptive Cryptographic System Orchestration via Intelligent Agents

With the continuous emergence of encryption methods, their application in computer simulations has become increasingly complex. Based on the FastAPI interface and combined with existing artificial intelligence technologies, this paper proposes an intelligent encryption agent framework, which realizes an agent compatible with various optical encryption systems. This agent can independently determine the encryption method according to the file type and obtain the corresponding encrypted content, which largely simplifies the operation process of optical encryption and improves user-friendliness. At the same time, this chapter proposes two optical encryption systems to encrypt different types of files respectively: one encrypts images under the Gyrator domain and RMD (Random Modulus Decomposition) scrambling. The other extracts and masks the audio sequence, then encrypts the audio in the Gyrator domain. This chapter incorporates these two optical encryption systems into the intelligent agent framework for demonstration.