Secure Framework for Data Leakage Detection and Prevention in IoT Application

With the development of emerging technologies like the Internet of Things (IoT), Fog, and Cloud computing, the home system become transferred into a smart home system. In recent years millions of smart devices are manufactured which can sense and communicate different sensitive information to the ne...

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Bibliographic Details
Published in2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) pp. 1 - 6
Main Authors Nayak, Suvendu Kumar, Keshari Swain, Sangram, Mohanta, Bhabendu Kumar, Kumar Paikaray, Bijay
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.12.2022
Subjects
Analytical models
Cloud computing
Data leak
Data models
Detection
Internet of Things
IoT
Prevention
Security
Signal processing
Smart homes
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Summary:With the development of emerging technologies like the Internet of Things (IoT), Fog, and Cloud computing, the home system become transferred into a smart home system. In recent years millions of smart devices are manufactured which can sense and communicate different sensitive information to the network. As smart devices collect sensitive information from the users in the smart home network it creates lots of security concerns. The user information needs to be protected from security attacks. In this paper, firstly authors identify the challenges and impact regarding data leakage for a user in a smart home environment. Secondly, the authors proposed a secure framework for data communication and storage. Thirdly, the proposed model implementation and security analysis are given in detail. Lastly, a security comparison statement is given with some existing related work which shows the proposed model is more secure in terms of data leakage.
DOI:10.1109/iSSSC56467.2022.10051336