基于数据分析规则的zigbee物联网入侵检测系统

Fal Sadikin, Nuruddin Wiranda
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引用次数: 0

摘要

物联网(IoT)产品和服务市场快速增长。据预测,在不久的将来,这些物联网应用的部署将呈指数级增长。然而,物联网的快速发展带来了新的安全风险,并可能为系统和网络带来新的攻击类型。本文概述了在基于zigbee的物联网系统中检测已知攻击的各种技术。我们引入了一种使用数据分析方法的ZigBee专用检测系统(IDS),用于为已知攻击提供准确的检测方法。本文介绍了我们的IDS实现,涵盖了各种检测技术来检测ZigBee IoT系统的已知攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INTRUSION DETECTION SYSTEM FOR ZIGBEE-BASED IOT USING DATA ANALYSIS RULES
The market for Internet of Things (IoT) products and services has grown rapidly. It has been predicted that the deployment of these IoT applications will grow exponentially in the near future. However, the rapid growth of IoT brings new security risks and potentially opens new types of attacks for systems and networks. This article outlines various techniques for detecting known attacks in ZigBee-based IoT systems. We introduced an Detection System (IDS) specific for ZigBee using data analytics method, that are used to provide an accurate detection method for known attacks. This article looks at our IDS implementation covering a wide variety of detection techniques to detect known attacks ZigBee IoT systems.
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