The existence of Internet of Things (IoT) facilitates the collection and transmission of urban data information. However, it can leak users’ personal privacy information in smart cities. Therefore, we propose a new private information encryption method in IoT under cloud computing environment. Under IoT, according to the properties and acquisition time, privacy information can be divided into many subspaces. Then, we analyze the private information encryption with different levels. Based on the stream cipher mechanism, we design an encryption system model of information collection. In the subspace, the privacy information is encrypted and transferred to the relay node. After encrypting, they are segmented and restructured. The long privacy information is divided into smaller slices. Then, they are reintegrated after conversion. Finally, we use stream cipher and dual-key algorithm to complete freedom nondestructive transformation between plaintext and ciphertext to ensure the integrity of the encrypted private information. Experimental results show that the proposed method takes less time in the encryption and decryption process, which has better ciphertext conversion output effect and suffers fewer network attacks in the same encryption time. The message encryption and decryption time is less than that of other methods. In terms of calculation cost, the proposed method decreases by approximately 14%. What is more, it has higher security and improves the security and integrity of the privacy information collection process.

中文翻译：

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云计算环境下物联网中一种新的私有信息加密方法

物联网（IoT）的存在促进了城市数据信息的收集和传输。但是，它可能会在智慧城市中泄漏用户的个人隐私信息。因此，我们提出了一种新的云计算环境下物联网中的私有信息加密方法。在物联网下，根据属性和获取时间，隐私信息可以分为许多子空间。然后，我们分析了不同级别的私人信息加密。基于流密码机制，设计了一种信息收集的加密系统模型。在子空间中，隐私信息被加密并传输到中继节点。加密后，将对它们进行分段和重组。较长的隐私信息分为较小的部分。然后，将它们转换后重新集成。最后，我们使用流密码和双密钥算法来完成明文和密文之间的自由度非破坏性转换，以确保加密私有信息的完整性。实验结果表明，该方法在加密和解密过程中花费的时间更少，在相同的加密时间下具有更好的密文转换输出效果和更少的网络攻击。消息的加密和解密时间少于其他方法。在计算成本方面，所提出的方法减少了大约14％。而且，它具有更高的安全性，并提高了隐私信息收集过程的安全性和完整性。