Hybrid intrusion detection system for smart home applications
Induruwa, A., Qi, M. and Hussain, F. 2020. Hybrid intrusion detection system for smart home applications. in: Mahmood, Z. (ed.) Developing and Monitoring Smart Environments for Intelligent Cities IGI Global.
|Authors||Induruwa, A., Qi, M. and Hussain, F.|
Smart 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.
|Keywords||Smart city; Smart home; Rapid urbanisation; Intrusion detection; Network security; Automation; Machine learning; Naïve Bayes Technique|
|Book title||Developing and Monitoring Smart Environments for Intelligent Cities|
|Output status||In press|
|Publication process dates|
|Deposited||27 Apr 2020|
|Digital Object Identifier (DOI)||https://doi.org/10.4018/978-1-7998-5062-5|
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