Data stored in physical storage or transferred over a communication channel includes substantial redundancy. Compression techniques cut down the data redundancy to reduce space and communication time. Nevertheless, compression techniques lack proper security measures, e.g., secret key control, leaving the data susceptible to attack. Data encryption is therefore needed to achieve data security in keeping the data unreadable and unaltered through a secret key. This work concentrates on the problems of data compression and encryption collectively without negatively affecting each other. Towards this end, an efficient, secure data compression technique is introduced, which provides cryptographic capabilities for use in combination with an adaptive Huffman coding, pseudorandom keystream generator, and S-Box to achieve confusion and diffusion properties of cryptography into the compression process and overcome the performance issues. Thus, compression is carried out according to a secret key such that the output will be both encrypted and compressed in a single step. The proposed work demonstrated a congruent fit for real-time implementation, providing robust encryption quality and acceptable compression capability. Experiment results are provided to show that the proposed technique is efficient and produces similar space-saving (%) to standard techniques. Security analysis discloses that the proposed technique is susceptible to the secret key and plaintext. Moreover, the ciphertexts produced by the proposed technique successfully passed all NIST tests, which confirm that the 99% confidence level on the randomness of the ciphertext.

存储在物理存储器中或通过通信通道传输的数据包括大量冗余。压缩技术减少了数据冗余以减少空间和通信时间。然而，压缩技术缺乏适当的安全措施，例如秘密密钥控制，从而使数据容易受到攻击。因此，需要数据加密来实现数据安全性，以使数据无法通过密钥进行读取和更改。这项工作集中解决了数据压缩和加密问题，彼此之间没有负面影响。为此，引入了一种高效，安全的数据压缩技术，该技术提供了与自适应霍夫曼编码，伪随机密钥流生成器，和S-Box可以实现加密技术在压缩过程中的混乱和扩散特性，并克服了性能问题。因此，根据秘密密钥执行压缩，使得输出将在单个步骤中被加密和压缩。拟议的工作证明了实时实施的一致性，提供了强大的加密质量和可接受的压缩能力。实验结果表明，所提出的技术是有效的，并且产生了与标准技术相似的节省空间的百分比。安全分析表明，所提出的技术易于受到密钥和明文的影响。此外，由该技术产生的密文成功通过了所有NIST测试，这证实了密文随机性的99％置信度。