标题： 基于声誉的物联网安全分区方案 显示英文标题

标题： Reputation-based partition scheme for IoT security

摘要： 随着智能终端的普及，如物联网，众包感知是一种新兴的数据聚合范式，在数据驱动的应用中起着关键作用。 在众包感知的发展中有一些关键问题，如平台安全和隐私保护。 由于众包感知通常由集中式平台管理，集中式管理将带来各种安全漏洞和可扩展性问题。 为了解决这些问题，本文提出了一种有效的基于声誉的分区方案（RSPC）。 该分区方案通过结合节点声誉值计算最优分区大小，并根据节点声誉值将节点划分为几个不相交的分区。 通过选择适当的分区大小，RSPC提供了一种机制，只要遵守失败节点的最大允许阈值，就能确保每个分区有效。 同时，RSPC定期重组网络以避免分区攻击。 此外，对于跨分区交易，本文创新性地提出了一种四阶段确认协议，以确保跨分区交易的高效和安全完成。 最后，实验表明，RSPC提高了众包感知的可扩展性、低延迟和高吞吐量。 显示英文摘要

摘要： With the popularity of smart terminals, such as the Internet of Things, crowdsensing is an emerging data aggregation paradigm, which plays a pivotal role in data-driven applications. There are some key issues in the development of crowdsensing such as platform security and privacy protection. As the crowdsensing is usually managed by a centralized platform, centralized management will bring various security vulnerabilities and scalability issues. To solve these issues, an effective reputation-based partition scheme (RSPC) is proposed in this article. The partition scheme calculates the optimal partition size by combining the node reputation value and divides the node into several disjoint partitions according to the node reputation value. By selecting the appropriate partition size, RSPC provides a mechanism to ensure that each partition is valid, as long as themaximum permissible threshold for the failed node is observed. At the same time, the RSPC reorganizes the network periodically to avoid partition attacks. In addition, for cross-partition transactions, this paper innovatively proposes a four-stage confirmation protocol to ensure the efficient and safe completion of cross-partition transactions. Finally, experiments show that RSPC improves scalability, low latency, and high throughput for crowdsensing.