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Intrusion Detection Systems for Smart Home IoT Devices: Experimental Comparison Study
arXiv - CS - Cryptography and Security Pub Date : 2021-01-16 , DOI: arxiv-2101.06519
Faisal Alsakran, Gueltoum Bendiab, Stavros Shiaeles, Nicholas Kolokotronis

Smart homes are one of the most promising applications of the emerging Internet of Things (IoT) technology. With the growing number of IoT related devices such as smart thermostats, smart fridges, smart speaker, smart light bulbs and smart locks, smart homes promise to make our lives easier and more comfortable. However, the increased deployment of such smart devices brings an increase in potential security risks and home privacy breaches. In order to overcome such risks, Intrusion Detection Systems are presented as pertinent tools that can provide network-level protection for smart devices deployed in home environments. These systems monitor the network activities of the smart home-connected de-vices and focus on alerting suspicious or malicious activity. They also can deal with detected abnormal activities by hindering the impostors in accessing the victim devices. However, the employment of such systems in the context of a smart home can be challenging due to the devices hardware limitations, which may restrict their ability to counter the existing and emerging attack vectors. Therefore, this paper proposes an experimental comparison between the widely used open-source NIDSs namely Snort, Suricata and Bro IDS to find the most appropriate one for smart homes in term of detection accuracy and resources consumption including CP and memory utilization. Experimental Results show that Suricata is the best performing NIDS for smart homes

中文翻译:

智能家居物联网设备的入侵检测系统:实验比较研究

智能家居是新兴的物联网(IoT)技术最有前途的应用之一。随着诸如智能恒温器,智能冰箱,智能扬声器,智能灯泡和智能锁等与物联网相关的设备的增长,智能家居有望使我们的生活更轻松,更舒适。然而,这种智能设备的增加部署带来了潜在的安全风险和家庭隐私破坏的增加。为了克服这些风险,入侵检测系统作为相关工具被提出,可以为部署在家庭环境中的智能设备提供网络级保护。这些系统监视与智能家居相连的设备的网络活动,并专注于警告可疑或恶意活动。他们还可以通过阻止冒名顶替者进入受害者的设备来处理检测到的异常活动。但是,由于设备的硬件限制,在智能家居环境中使用此类系统可能会面临挑战,这可能会限制它们抵抗现有和新兴攻击媒介的能力。因此,本文提出了在广泛使用的开源NIDS(即Snort,Suricata和Bro IDS)之间进行实验比较的方法,以在检测准确性和资源消耗(包括CP和内存利用率)方面找到最合适的智能家居。实验结果表明,Suricata是用于智能家居的性能最佳的NIDS 这可能会限制其抵抗现有和新兴攻击媒介的能力。因此,本文提出了在广泛使用的开源NIDS(即Snort,Suricata和Bro IDS)之间进行实验比较的方法,以在检测准确性和资源消耗(包括CP和内存利用率)方面找到最合适的智能家居。实验结果表明,Suricata是用于智能家居的性能最佳的NIDS 这可能会限制其抵抗现有和新兴攻击媒介的能力。因此,本文提出了在广泛使用的开源NIDS(即Snort,Suricata和Bro IDS)之间进行实验比较的方法,以在检测准确性和资源消耗(包括CP和内存利用率)方面找到最合适的智能家居。实验结果表明,Suricata是用于智能家居的性能最佳的NIDS
更新日期:2021-01-19
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