The trend towards the Internet of Things (IoT) technology promises the growth of home and organizational automation in the world. Due to the large amount of IoT data stored in the semi-trust cloud server, the IoT is vulnerable to cyberattacks. Therefore, the privacy violation of outsourced data is an obstacle to efficient IoT data storage. Searchable encryption is a promising solution for secure storage and selective data retrieval. However, achieving desired privacy, performance, and attributes such as dynamics, access control, scalability, and fair arbitration is still a challenge in searchable encryption schemes. In this paper, we propose a fair and dynamic multi-owner searchable encryption scheme wherein dynamics does not leak the sensitive information. In the proposed scheme, the verifiability and fair arbitration, respectively, prevent the malicious cloud servers and malicious users from having any motivation to disrupt the accuracy of the exchanged data. Generating a single trapdoor corresponding to the conjunctive keyword query, a client can search over all documents stored in the cloud, the owner of which has allowed the client to access. We also prove that our scheme is secure against the keyword guessing attack in the standard model. Finally, evaluating the performance of the proposed scheme on a real dataset, we demonstrate its efficiency as well.

物联网 (IoT) 技术的趋势预示着全球家庭和组织自动化的发展。由于半信任云服务器中存储了大量物联网数据，物联网容易受到网络攻击。因此，外包数据的隐私侵犯是高效物联网数据存储的障碍。可搜索加密是一种用于安全存储和选择性数据检索的有前途的解决方案。然而，在可搜索加密方案中，实现所需的隐私、性能和属性（如动态、访问控制、可扩展性和公平仲裁）仍然是一个挑战。在本文中，我们提出了一种公平且动态的多所有者可搜索加密方案，其中动态不会泄露敏感信息。在提议的方案中，可验证性和公平仲裁分别为 防止恶意云服务器和恶意用户有任何破坏交换数据准确性的动机。生成与连接关键字查询相对应的单个陷门，客户端可以搜索存储在云中的所有文档，其所有者已允许客户端访问。我们还证明了我们的方案对标准模型中的关键字猜测攻击是安全的。最后，在真实数据集上评估所提出方案的性能，我们也证明了其效率。我们还证明了我们的方案对标准模型中的关键字猜测攻击是安全的。最后，在真实数据集上评估所提出方案的性能，我们也证明了其效率。我们还证明了我们的方案对标准模型中的关键字猜测攻击是安全的。最后，在真实数据集上评估所提出方案的性能，我们也证明了其效率。