4.2 Article

IoT based home monitoring system with secure data storage by Keccak-Chaotic sequence in cloud server

Journal

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s12652-020-02424-x

Keywords

Video data encryption; IoT; Camera based sensing; Chaotic sequence

Ask authors/readers for more resources

The Internet of Things has become an essential part of the technological revolution, improving the quality of people's lives and being widely employed in various real-time applications. This paper introduces an IoT-based home monitoring system that ensures secure data storage by using a strict encryption scheme and storing encrypted data in a cloud server.
Internet of things (IoT) has become an integral part of today's technological revolution, which enhances the people's quality of life. The IoT paradigm makes the world smarter and is employed in numerous real-time applications ranging from healthcare to vehicular networks. Surveillance systems are yet another important application of IoT and this work presents an IoT based home monitoring system, which deploys two ESP32 cameras for video sensing. The sensed data is not advisable to get stored as such, as the intruders may predict the usual events or frequent visitors to home. In order to ensure privacy, the cloud data storage must be secured and the purpose of this article is to ensure secure data storage, such that the data leakage can be prevented and the consistency is maintained. The data to be stored is secured by enforcing strict encryption scheme with keccak and chaotic sequence by considering the frames. The encrypted data is then stored in the cloud server. The performance of the proposed work is evaluated with respect to several performance measures and the work is proven to be efficient.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available