Steganography-assisted secure localization of smart devices in internet of multimedia things (IoMT)
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Steganography-assisted secure localization of smart devices in internet of multimedia things (IoMT) Saira Khan 1 & Naveed Abbas 1 & Mansoor Nasir 1 & Khalid Haseeb 1 & Tanzila Saba 2 & Amjad Rehman 2 & Zahid Mehmood 3 Received: 31 August 2019 / Revised: 1 July 2020 / Accepted: 18 August 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
Steganography is a secure way of communicating secret visual data/information from one place to another via multimedia carriers. Digital steganography, spatial and frequency domain has taken several methods over the past two decades. In this work, we present steganography-assisted secure localization of smart devices for Visual Sensor Network (VSN). The proposed system is based on achromatic-component (Y-Plane) of the YCbCr color space and maximum likelihood estimation algorithm (MLEA) in the spatial domain. Data/information security via multimedia carriers is the main concern in this technological era, if secret information is captured by a Visual Sensor network, (VSN) then the capture information in the case to send from one place to another needs fundamental security to keep the information confidential. In the proposed steganography-assisted Visual Sensor Network (VSN) the camera nodes are intelligent to process the image data and to extract the important information and the rich-description are provided to the system’s user for further action. In the proposed technique first, the input image is rotated on 90 degrees and transformed into YCbCr color space. Furthermore, the secret data is separated into different blocks of the same size based on key giving sub-blocks in YPlane, secret information is then encrypted using an MLE algorithm (MLEA) and the corresponding blocks of secret data is embedded in the sub-image of Y-Plane. The experimental results authenticate that the proposed technique does not only boost the visual quality of stegno-images but also delivers good imperceptibility, robustness, and security as compared to state-of-the-art approaches.
* Amjad Rehman [email protected]
1
Department of Computer Science, Islamia College Peshawar, Peshawar 25120, Pakistan
2
Artificial Intelligence & Data Analytics Lab CCIS, Prince Sultan University, Riyadh 11586, Saudi Arabia
3
Department of Computer Engineering, University of Engineering and Technology, Taxila 47050, Pakistan
Multimedia Tools and Applications
Keywords Image steganography . Information security . Image quality . LSB . Visual sensor network (VSN): Secret key . Embedding
1 Introduction Steganography includes communicating secret data/information in some suitable multimedia carriers, e.g. transferring images, audio, and video files via Visual Sensor Network (VSN). There are several approaches used for digital steganography both in the spatial domain as well as in the frequency domain. For several applications, steganography could be used to transfer top-secret documents, such as online banking, voting systems, health care information, between national and international orga
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