论文标题
大规模工业互联网环境的基于雾的安全框架
A Fog-Based Security Framework for Large-Scale Industrial Internet of Things Environments
论文作者
论文摘要
工业互联网(IIOT)是一个开发的研究领域,具有潜在的全球互联网连接,将日常对象转变为具有更自主活动的智能设备。 IIOT服务和应用不仅用于智能家居和智能城市,而且还成为行业4.0概念的基本要素。 IIOT的出现有助于传统行业简化生产过程,降低生产成本并提高工业效率。但是,许多异质设备的参与,第三方软件的使用以及IoT设备的资源约束性质为生产链带来了新的安全风险,并将漏洞暴露于系统中。分布式拒绝服务(DDOS)攻击很重要。本文分析了IIOT中的威胁和攻击,并讨论了DDOS攻击如何影响生产过程和与IIT服务和应用程序的沟通功能障碍。本文还提出了一个参考安全框架,该框架增强了雾计算的优势,以证明针对DDOS攻击的对策和可能在大规模缓解此类攻击的可能策略。
The Industrial Internet of Things (IIoT) is a developing research area with potential global Internet connectivity, turning everyday objects into intelligent devices with more autonomous activities. IIoT services and applications are not only being used in smart homes and smart cities, but they have also become an essential element of the Industry 4.0 concept. The emergence of the IIoT helps traditional industries simplify production processes, reduce production costs, and improve industrial efficiency. However, the involvement of many heterogeneous devices, the use of third-party software, and the resource-constrained nature of the IoT devices bring new security risks to the production chain and expose vulnerabilities to the systems. The Distributed Denial of Service (DDoS) attacks are significant, among others. This article analyzes the threats and attacks in the IIoT and discusses how DDoS attacks impact the production process and communication dysfunctions with IIoT services and applications. This article also proposes a reference security framework that enhances the advantages of fog computing to demonstrate countermeasures against DDoS attacks and possible strategies to mitigate such attacks at scale.