Present day world have evolved from traditional environment to smart industries using IoT scheme which in turn forms Industrial Internet of Things (IIoT), which significantly elaborated by providing enhance integration using smart communication through IoT based sensors. IIoT has been providing cost reduction and enhancement in technology by bringing availability, flexibility and data sharing through real time scenario. Despite being unsecure environment of cloud, the privacy of data transfer and information confidentiality is guaranteed. In this context, this work presents a Public Key Encryption with Equality Test based on DLP with double decomposition problems over near-ring. Computation Diffie-Hellman is utilized in algebraic structure which involves DLP with Double Decomposition problem for proposing a Public Key Encryption with Equality Test which provides more security to the scheme. The proposed method is highly secure and it solves the problem of quantum algorithm attacks in IIoT systems. Further, the suggested system is significantly secure and it prevents the chosen-ciphertext attack in type-I rival and it is indistinguishable against the random oracle model for the type-II rival. The recommended scheme is highly secure and the security analysis measures are comparatively stronger than existing techniques. Search time of the proposed scheme is 150 milliseconds for which the number of attributes is 50 and when comparing to the decryption time of the proposed model which is lower when compared to other existing scheme for 50 attributes.

中文翻译：

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云计算中工业物联网系统的公钥加密等式测试

当今世界已经从传统环境发展到使用物联网方案的智能工业，这反过来又形成了工业物联网 (IIoT)，通过基于物联网的传感器使用智能通信提供增强集成来显着阐述。IIoT 通过实时场景带来可用性、灵活性和数据共享，一直在降低成本并增强技术。尽管是不安全的云环境，但数据传输的私密性和信息保密性得到了保证。在这种情况下，这项工作提出了一种基于 DLP 的具有等式测试的公钥加密，其中存在近环上的双分解问题。计算 Diffie-Hellman 用于代数结构中，该结构涉及具有双重分解问题的 DLP，以提出具有等式测试的公钥加密，从而为方案提供更高的安全性。该方法安全性高，解决了工业物联网系统中的量子算法攻击问题。此外，所建议的系统非常安全，它可以防止 I 型竞争对手的选择密文攻击，并且与 II 型竞争对手的随机预言模型没有区别。推荐的方案安全性高，安全性分析措施比现有技术更强。