A Novel Node Management in Hadoop Cluster by Using DNA

2021 ◽  
Vol 12 (4) ◽  
pp. 38-46
Author(s):  
Balaraju J. ◽  
P.V.R.D. Prasada Rao
Keyword(s):  
Distributed System ◽  
Data Hiding ◽  
Dna Sequences ◽  
Sensitive Data ◽  
Hadoop Cluster ◽  
Physical Address

This paper proposes a novel node management for the distributed system using DNA hiding and generating a unique key by combing a unique physical address (MAC) of node and hostname. This mechanism provides better node management for the Hadoop cluster providing adding and deletion node mechanism by using limited computations and providing better node security from hackers. The objective of this paper is to design an algorithm to implement node-sensitive data hiding using DNA sequences and provide security to the node and its data from hackers.

scholarly journals Enhancing GDPR compliance through data sensitivity and data hiding tools

2021 ◽  
Vol 27 (7) ◽  
pp. 650-666
Author(s):  
Xabier Larrucea ◽  
Micha Moffie ◽  
Dan Mor
Keyword(s):  
Health Services ◽  
Data Hiding ◽  
Industry 4.0 ◽  
Health Sector ◽  
Healthcare Sector ◽  
Sensitive Information ◽  
Sensitive Data ◽  
Architectural Model ◽  
Data Sensitivity

Since the emergence of GDPR, several industries and sectors are setting informatics solutions for fulfilling these rules. The Health sector is considered a critical sector within the Industry 4.0 because it manages sensitive data, and National Health Services are responsible for managing patients’ data. European NHS are converging to a connected system allowing the exchange of sensitive information cross different countries. This paper defines and implements a set of tools for extending the reference architectural model industry 4.0 for the healthcare sector, which are used for enhancing GDPR compliance. These tools are dealing with data sensitivity and data hiding tools A case study illustrates the use of these tools and how they are integrated with the reference architectural model.

Reversible Data Hiding for DNA Sequences and Its Applications

2014 ◽  
Vol 6 (4) ◽  
pp. 1-13 ◽  
Author(s):  
Qi Tang ◽  
Guoli Ma ◽  
Weiming Zhang ◽  
Nenghai Yu
Keyword(s):  
Data Hiding ◽  
Dna Sequences ◽  
Reversible Data Hiding ◽  
Tamper Detection ◽  
Dna Databases ◽  
Living Things ◽  
Embedding Rate

As the blueprint of vital activities of most living things on earth, DNA has important status and must be protected perfectly. And in current DNA databases, each sequence is stored with several notes that help to describe that sequence. However, these notes have no contribution to the protection of sequences. In this paper, the authors propose a reversible data hiding method for DNA sequences, which could be used either to embed sequence-related annotations, or to detect and restore tampers. When embedding sequence annotations, the methods works in low embedding rate mode. Only several bits of annotations are embedded. When used for tamper detection and tamper restoration, all possible embedding positions are utilized to assure the maximum restoration capacity.

scholarly journals Reversible Data Hiding for DNA Sequence Using Multilevel Histogram Shifting

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Suk-Hwan Lee
Keyword(s):  
Dna Sequence ◽  
Data Hiding ◽  
Dna Sequences ◽  
Reversible Data Hiding ◽  
Stop Codon ◽  
Sequence Length ◽  
Histogram Shifting ◽  
Stop Codons ◽  
False Start ◽  
Conventional Methods

A large number of studies have examined DNA storage to achieve information hiding in DNA sequences with DNA computing technology. However, most data hiding methods are irreversible in that the original DNA sequence cannot be recovered from the watermarked DNA sequence. This study presents reversible data hiding methods based on multilevel histogram shifting to prevent biological mutations, preserve sequence length, increase watermark capacity, and facilitate blind detection/recovery. The main features of our method are as follows. First, we encode a sequence of nucleotide bases with four-character symbols into integer values using the numeric order. Second, we embed multiple bits in each integer value by multilevel histogram shifting of noncircular type (NHS) and circular type (CHS). Third, we prevent the generation of false start/stop codons by verifying whether a start/stop codon is included in an integer value or between adjacent integer values. The results of our experiments confirmed that the NHS- and CHS-based methods have higher watermark capacities than conventional methods in terms of supplementary data used for decoding. Moreover, unlike conventional methods, our methods do not generate false start/stop codons.

scholarly journals A Substitution-Based Method for Data Hiding in DNA Sequences

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Amany El-deeb ◽  
Ashraf Elsisi ◽  
Anas Youssef
Keyword(s):  
Data Hiding ◽  
Dna Sequences
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