Hybrid Intrusion Detection System for Smart Home Applications

Book chapter

Hussain, Fida, Induruwa, Abhaya and Qi, Man 2020. Hybrid Intrusion Detection System for Smart Home Applications. in: Mahmood, Z. (ed.) Developing and Monitoring Smart Environments for Intelligent Cities IGI Global. pp. 300-322
AuthorsHussain, Fida, Induruwa, Abhaya and Qi, Man
EditorsMahmood, Z.
AbstractSmart homes, which incorporate IoT technologies to provide home security, efficient environmental services, conveniences, and improved living standards, are becoming the centre of smart urban developments. With the increased inter-connectivity of smart objects and sensors, there is now, also, an increased level of cyber threats, which can compromise privacy and security. These threats either modify packets of information or inject modified packets into the networks. This chapter examines current intrusion detection systems (IDSs) and presents a unique solution to overcome intrusion detection challenges. It discusses the implementation of smart home IDS (SHIDS), using a machine learning based signature and anomaly intrusion detection scheme to detect network intrusions in the smart home. Suggested mechanism is based on naïve Bayes technique to improve the detection performance. The performance of SHIDS has been tested with network intrusions resulting from DoS, probe, remote-to-local (R2L), and user-to-root (U2R) attacks.
KeywordsSmart city; Smart home; Rapid urbanisation; Intrusion detection; Network security; Automation; Machine learning; Naïve Bayes Technique
Page range300-322
Year2020
Book titleDeveloping and Monitoring Smart Environments for Intelligent Cities
PublisherIGI Global
Output statusPublished
ISBN9781799850625
ISSN2326-6139
2326-6155
Publication dates
PrintNov 2020
Publication process dates
Deposited27 Apr 2020
Digital Object Identifier (DOI)https://doi.org/10.4018/978-1-7998-5062-5.ch012
JournalDeveloping and Monitoring Smart Environments for Intelligent Cities
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