Abstract

With the rapid development of the Internet of Things, the massive amount of big data generated by the Internet of Things terminals and the real-time processing requirements have brought enormous challenges. A two-tier computing model consisting solely of two entities, cloud and user, will not be sufficient to support processing large numbers of concurrent data requests. Therefore, fog computing was proposed. How to realize the secure and efficient deduplication of ciphertext in fog computing has become a new research topic. In this paper, we firstly present a new decentralized deduplication structure and then show how to apply it to construct a secure and efficient big data deduplication scheme in fog computing. The cloud server, in the proposed paper, can quickly determine which fog server needs to be traversed to search duplicate data, and instead of traversing all fog servers. This significantly improves the efficiency of big data deduplication in fog computing. Furthermore, the proposed scheme allows fog server to verify whether the user possesses the ownership of the data. Performance analysis and experimental results show the proposed scheme has less overheads than existing schemes.

中文翻译：

---

雾计算中安全高效的大数据重复数据删除

摘要

随着物联网的飞速发展，物联网终端产生的大量大数据以及实时处理需求带来了巨大的挑战。仅由两个实体（云和用户）组成的两层计算模型不足以支持处理大量并发数据请求。因此，提出了雾计算。如何在雾计算中实现密文的安全，高效的重复数据删除已成为新的研究课题。在本文中，我们首先提出了一种新的分散式重复数据删除结构，然后展示了如何将其应用到雾计算中构建安全高效的大数据重复数据删除方案。在提出的论文中，云服务器可以快速确定需要遍历哪个雾服务器来搜索重复数据，而不是遍历所有雾服务器。这显着提高了雾计算中大数据重复数据删除的效率。此外，提出的方案允许雾服务器验证用户是否拥有数据的所有权。性能分析和实验结果表明，该方案具有比现有方案更少的开销。