Intrusion Detection System in Smart Home Network Using Bidirectional LSTM and Convolutional Neural Networks Hybrid Model

by   Nelly Elsayed, et al.

Internet of Things (IoT) allowed smart homes to improve the quality and the comfort of our daily lives. However, these conveniences introduced several security concerns that increase rapidly. IoT devices, smart home hubs, and gateway raise various security risks. The smart home gateways act as a centralized point of communication between the IoT devices, which can create a backdoor into network data for hackers. One of the common and effective ways to detect such attacks is intrusion detection in the network traffic. In this paper, we proposed an intrusion detection system (IDS) to detect anomalies in a smart home network using a bidirectional long short-term memory (BiLSTM) and convolutional neural network (CNN) hybrid model. The BiLSTM recurrent behavior provides the intrusion detection model to preserve the learned information through time, and the CNN extracts perfectly the data features. The proposed model can be applied to any smart home network gateway.



There are no comments yet.


page 1


Intrusion Detection Systems for Smart Home IoT Devices: Experimental Comparison Study

Smart homes are one of the most promising applications of the emerging I...

DeepAuditor: Distributed Online Intrusion Detection System for IoT devices via Power Side-channel Auditing

As the number of IoT devices has increased rapidly, IoT botnets have exp...

RadIoT: Radio Communications Intrusion Detection for IoT - A Protocol Independent Approach

Internet-of-Things (IoT) devices are nowadays massively integrated in da...

Smart-home anomaly detection using combination of in-home situation and user behavior

Internet-of-things (IoT) devices are vulnerable to malicious operations ...

Dataset for anomalies detection in 3D printing

Nowadays, Internet of Things plays a significant role in many domains. E...

IoT DoS and DDoS Attack Detection using ResNet

The network attacks are increasing both in frequency and intensity with ...

Advanced Metering Infrastructures: Security Risks and Mitigation

Energy providers are moving to the smart meter era, encouraging consumer...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.