Data Encryption Techniques for Edge AI Security

@genaiexp Data encryption is a fundamental component of securing edge AI systems. Encrypting data at rest and in transit ensures that even if data is intercepted or accessed without authorization, it remains unreadable. Symmetric encryption, which uses the same key for encryption and decryption, is efficient for resource-constrained environments. Asymmetric encryption, utilizing a pair of public and private keys, offers additional security but requires more computational resources. Effective key management strategies, such as regular key rotation and secure storage, are vital to prevent unauthorized access to encryption keys. Implementing these encryption techniques is essential to protect sensitive data and maintain privacy in edge AI deployments.