为 IDS 研究中心提供基于区块链的物联网安全解决方案

IF 6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Selman Hızal , A.F.M. Suaib Akhter , Ünal Çavuşoğlu , Devrim Akgün
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引用次数: 0

摘要

物联网(IoT)的快速发展将现实世界中的物体与互联网连接起来,增强了数字互动,同时也带来了严重的安全漏洞。入侵检测系统(IDS)对于识别威胁和保护物联网设备免受网络攻击至关重要。由区块链技术支持的安全、去中心化平台为全球研究人员提供了最佳解决方案,使他们能够共同有效应对物联网安全挑战。本研究介绍了基于区块链的 IDS 研究中心,以通过全球协作加强物联网网络安全。它展示了将 IDS 与区块链相结合以提高研究中心网络安全的好处,促进了安全解决方案的高效共享。通过在区块链上定义各种节点类型,该平台可确保对服务的可控访问,并通过特定授权简化网络管理。研究中心可以为区块链贡献自己的研究成果,而其他人则可以利用该平台访问 IDS 服务。我们的工作采用机器学习算法,在检测 DDoS 攻击方面取得了可喜的成绩,与文献相比,XGBoost 算法取得了良好的效果。研究结果表明了所提出的方法如何有效地与区块链技术和 CiCIoT2023 数据集配合使用,以提供安全、分散的信息共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Blockchain-based IoT security solutions for IDS research centers

Blockchain-based IoT security solutions for IDS research centers

The rapid evolution of the Internet of Things (IoT) has connected real-world objects to the Internet, enhancing digital interaction and introducing critical security vulnerabilities. Intrusion Detection Systems (IDS) are essential in identifying threats and protecting Internet of Things devices from cyberattacks. A secure, decentralized platform enabled by blockchain technology offers the optimal solution for researchers worldwide to collaboratively address the challenges of IoT security effectively. This study introduces a blockchain-based IDS research center to strengthen IoT network security via global collaboration. It demonstrates the benefits of combining IDS with blockchain to improve cybersecurity in research centers, facilitating the efficient sharing of security solutions. By defining various node types on the blockchain, the platform ensures controlled access to services and streamlined network management through specific authorizations. Research centers can contribute to the blockchain with their findings, whereas others utilize the platform to access IDS services. Our work uses machine learning algorithms to achieve promising performance in detecting DDoS attacks, with the XGBoost algorithm demonstrating good results compared to the literature. The findings illustrate how effectively the presented approach works with blockchain technology and the CiCIoT2023 dataset to provide safe and decentralized information sharing.

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来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
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