Novel Algorithm for Multi-Time Data Implantation in a Special Cyber-Manufacturing Architecture

Author:

Nahar MahbubunORCID,Kamal A. H. M.,Hassan Md Rafiul,Moni Mohammad AliORCID

Abstract

A physical cyber system connects all authenticated cyber devices in its network. Nowadays, many wearable devices function as cyber devices. In essence, people are using these devices more for their healthcare. These devices would be very popular if an easy-to-use manufacturing architecture could be created and, at the same time, the devices could protect the data stored on the device. In this article, we suggest a good manufacturing architecture for a healthcare device, in which our proposed data protection method works well. The architecture is very simple to implement and the data protection method hides information in a DNA sequence. The present DNA-based data hiding schemes implant secrets in converted binaries of nucleotides. The number of implanted bits is no more than the length of nucleotides, however, these schemes expand the stego DNA sequence noticeably. While implanting a large message, e.g., historical records of patients, it would be harder for these schemes to manage the implantation of the whole secret in a single DNA sequence. A large DNA sequence might be a solution in some contexts. Nevertheless, managing a large DNA sequence and its expanded part in a fixed memory space would be challenging as those are too large in size. To address this problem, we propose a multi-time data embedment method that could implant as much data in a DNA sequence as needed. Although it presents a greater embedding capacity, it does not increase the length of the modified DNA/RNA sequence. Thus, it optimizes the extra memory load in the chip. The proposed method implemented several features to improve the security of both implanted data and DNA sequence. The experimental results outperform all measurements over the competing schemes.

Publisher

MDPI AG

Subject

Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science

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