A model to predict malicious data in smart home applications using deep learning algorithms
K. S. Niraja, K. Keerthi Chennam, Rasineni Madana Mohana, G. Venkata Siva Nandan · IET conference proceedings. · 2022
Internet of Things (IoT) had brought drastic changes in everyone life's and had come up with every field made with a new keyword know as smart. The smart devices are being connected smartly in every field and became many use cases. As the technology has been upgraded same way there are a greater number of vulnerabilities coming in the smart devices which became a challenging task in smart devices especially IoT. Artificial Intelligence had made a step forward improvement in every field we can predict a model with deep learning techniques to decrease some of the vulnerabilities in IoT. In this paper we proposed Deep Learning model to detect malicious data in smart home use case where UCI data set is taken for study. The experimental results proved that the model prediction is efficient to identify malicious data.