Recent advancements in the field of internet of things (IoT) and networking technologies, maximum attention has been received in the field of privacy and security in IoT environment. The IoT devices are commonly employed to acquire real world person dataset, security and privacy pose a major challenging issue. To resolve these issues, this paper develops novel partially homomorphic encryption named ElGamal public key cryptosystem with optimal key generation using cross entropy with a red deer optimization algorithm (EGPKC-CERDA) for privacy preserving in IoT environment. The presented EGPKC-CERDA algorithm aims to focus on the IEEE 802.15.4 MAC standard where security field is kept at the MAC header. Besides, EGPKC technique with optimal authentication key creation is involved for secure authentication at the MAC header. Furthermore, the optimum key selection procedure for EGPKC is carried out by CERDA technique where cross entropy scheme is integrated into the RDA for improving the local and global optima. To assure the proficient results analysis of the EGPKC-CERDA algorithm, a series of experimentations were taken place and the results are investigated with respect to different dimensions. The resultant experimentation values ensured the superior outcome of the EGPKC-CERDA algorithm.

物联网 (IoT) 和网络技术领域的最新进展，物联网环境中的隐私和安全领域受到了最大的关注。物联网设备通常用于获取真实世界的人物数据集，安全和隐私构成了一个重大的挑战问题。为了解决这些问题，本文开发了一种新颖的部分同态加密，名为 ElGamal 公钥密码系统，使用交叉熵和红鹿优化算法（EGPKC-CERDA）优化密钥生成，用于物联网环境中的隐私保护。所提出的 EGPKC-CERDA 算法旨在关注 IEEE 802.15.4 MAC 标准，其中安全字段保留在 MAC 标头中。此外，为了在 MAC 头进行安全认证，还涉及具有最佳认证密钥创建的 EGPKC 技术。此外，EGPKC 的最佳密钥选择程序由 CERDA 技术执行，其中交叉熵方案被集成到 RDA 中以改进局部和全局最优。为了确保 EGPKC-CERDA 算法的精通结果分析，进行了一系列实验，并对不同维度的结果进行了研究。由此产生的实验值确保了 EGPKC-CERDA 算法的优越结果。