Intrusion detection systems for smart home IoT devices: experimental comparison study

Faisal Alsakran, Gueltoum Bendiab, Stavros Shiaeles*, Nicholas Kolokotronis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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With the growing number of IoT related devices, smart homes promise to make our lives easier and more comfortable. However, the increased deployment of such smart devices brings a lot of security and privacy risks. 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 devices 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 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 (currently known as Zeek) to find the most appropriate IDS for smart homes in term of resources consumption including CPU and memory utilisation. Experimental Results show that Suricata and Bro are the best performing NIDS for smart homes.
Original languageEnglish
Title of host publicationSecurity in Computing and Communications
EditorsSabu M. Thampi, Gregorio Martinez Perez, Ryan Ko, Danda B. Rawat
Place of PublicationSingapore
Number of pages12
ISBN (Electronic)978-981-15-4825-3
ISBN (Print)978-981-15-4824-6
Publication statusPublished - 26 Apr 2020
Event7th International Symposium on Security in Computing and Communication - Trivandrum, India
Duration: 18 Dec 201921 Dec 2019

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


Conference7th International Symposium on Security in Computing and Communication
Abbreviated titleSSCC 2019


  • Internet of Things (IoT)
  • smart-home
  • anomaly detection
  • attack mitigation
  • Intrusion Detection System


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