A document data security protection system based on improved CCM-DES algorithm

This study proposes a document data security protection scheme based on an improved CCM-DES algorithm to address the limited key space and the difficulty in handling semantic rewriting in the traditional DES algorithm during document similarity detection. This scheme enhances the encryption obfuscation effect by perturbing the subkey order through composite chaotic mapping and integrates Simhash multi-level fingerprints to achieve rapid detection of document similarity, thereby unifying data encryption, integrity authentication, and active leak identification within a single protection framework. Experimental results indicate that the system achieves an encryption throughput of 358.9 MB/s, an encryption latency of only 8.2 ms, and an F1 score of 97.0%. Compared with AES-GCM, ASCON, and ML-KEM, this scheme has significant advantages in encryption efficiency and detection accuracy, verifying its effectiveness in document integrated security protection in real-time deployment scenarios.