区块链支持的安全机制,防止基于物联网的智能家居数据伪造

Arjun Singh, Surbhi Chauhan, Shashi Kant Dargar, Sumegh Tharewal, Vitthal Sadashiv Gutte, Pradeep Kumar Tiwari, Sonam Gupta
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引用次数: 0

摘要

在物联网(IoT)的帮助下,传统家庭已经发展成为智能家庭(SM)。统一网关是连接所有可上网设备的设备。这些网关需要使用坚固的安全方法来保护,因为安全是非常重要的。为了克服这些问题,这一观察表明,在有担保的房屋中使用区块链技术(BC),以确保某些信息的私密性和安全性。针对SH网关存在的安全问题,本文提出了一种解决方案。提出了一种基于区块链辅助的可靠Q-learning算法,用于SH网关的数据保存。三个部分组成了支持区块链的Q学习算法(QLABS)协议。首先,采用基于Cipolla扩展欧氏距离算法的点阵密码系统记录和存储用户数据(CEED-LC)。其次,在保证数据保密性和完整性的同时,所提出的密码系统提供了一个小的密钥生成(KG),具有良好的安全性。第三,在QLABS协议协议的帮助下,使用特定的网关注册id创建区块。测试结果表明,通过获得更高的吞吐量和更高的数据包传递率(PDR)值,所建议的框架对漏洞的安全性有多高。结果表明,该方法在PDR和吞吐量方面优于其他现有算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blockchain enabled security mechanism for preventing data forgery in IoT-based smart homes
Conventional homes have grown to be smart homes (SM) with the assistance of the Internet of Things (IoT). A unified gateway connects all Internet-enabled devices. Those gateways need to be secured by the usage of a sturdy safety method due to the fact safety is very vital. In order to conquer those problems, this observation shows employing Blockchain Technology (BC) for secured houses to make certain information private and safe. To cope with the safety problem with SH gateways, this paper proposes a solution. A reliable Q-learning algorithm with Blockchain assistance is proposed for the SH gateway to save data. three sections make up the protocol Q Learning Algorithm with Blockchain Support (QLABS). First, a Lattice cryptosystem based on Cipolla’s extended Euclidean distance algorithm is used to record and store user data (CEED-LC). Second, while preserving data secrecy and integrity, the proposed cryptosystem offers a small Key Generation (KG) with excellent security. Third, with the assistance of QLABS protocol agreement, the blocks are created with a specific gateway enrolment-ID. The testing results demonstrate how highly safe the suggested framework is against the vulnerabilities by obtaining a higher throughput along with a higher Packet Delivery Ratio (PDR) value. The results show that the recommended approach tops other existing algorithms in terms of PDR and throughput.
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