scholarly journals Provide a secured automatic program algorithm for DNA sequence storage arrangement in cloud

2018 ◽  
Vol 7 (2.20) ◽  
pp. 10
Author(s):  
G Geetha ◽  
G Surekha ◽  
P Aditya Sharma ◽  
E Uma Shankari
Keyword(s):  
Cloud Computing ◽  
Dna Sequences ◽  
Sequence Data ◽  
Low Cost ◽  
Original Data ◽  
Reference Sequence ◽  
Secret Data ◽  
Security Issues ◽  
Information Accessibility ◽  
Minimum Number

The primary target of this paper is to provide a secured implementing algorithm for hiding DNA sample sequence data confidently by using special software in cloud computing environments. The suggested algorithm here for hiding DNA sequences is based on binary coding and complementary pairing rules. Hence DNA reference sequence is taken as a sample secret data with a notation of M. But after applying some steps the final result obtained in cloud environment is M’’’. The procedure of identifying or extracting the original data M from the hidden DNA Reference sequence is depended on the user if and only if the user wants to use the data for process. Likewise there are security issues for the manipulating from claiming information. In this way that accessible user’s information arrangement may be isolated under SPs in such a way that it has to reach minimum number of specified threshold SPs number from the whole data block. In this paper, we recommend A low cost secured and multi- cloud storage  (SCMCS) model over cloud computing which holds an prudent appropriation about information Around the accessible SPs in the market, with gatherings gives client information accessibility and additionally secure capacity.  

scholarly journals Securing Data And Information In The Cloud Using Dna And Morse Coding Techniques

2021 ◽  
Vol 23 (11) ◽  
pp. 321-329
Author(s):  
L. Soumya Krishnan ◽  
◽  
Dr.K. Selvakumar ◽  
Keyword(s):  
Cloud Computing ◽  
Dna Sequences ◽  
Data Protection ◽  
Low Cost ◽  
Original Data ◽  
Remote Access ◽  
Easy Access ◽  
Related Data ◽  
Work Related ◽  
Morse Code

Cloud computing is a computing strategy that provides services hosted on the Internet to its users/customers. It refers to the computer solutions that are distributed. The cloud allows data to be stored and provides remote access to any work-related data. Enables easy access to cloud computing services at a low cost. Data protection and privacy protection are two major confusions about cloud technology. Various methods have been followed to make data security in the cloud reliable. A two-way DNA encryption algorithm (BDEA) is one such data protection technique. However, the current technology ignores the non-English user of cloud computing and focuses only on the ASCII script. This proposed work focuses on improving BDEA. To increase the security and confidentiality of data in the cloud environment, DNA sequences are used for encryption programs with Morse code. Using Morse code makes it very difficult for an intruder to steal the original data. Theoretical and experimental results show the efficiency of the algorithm, It is also an indication that it can be used in a variety of applications such as security, banking, and medical purposes. The future job is to encrypt color images and videos to upload to the cloud.

scholarly journals High Security Mechanism: Fragmentation and Replication in the Cloud with Auto Update in the System.

2020 ◽  
Vol 5 (2) ◽  
pp. 54-59
Author(s):  
Shrutika Khobragade ◽  
Rohini Bhosale ◽  
Rahul Jiwahe
Keyword(s):  
Cloud Computing ◽  
Low Cost ◽  
Vital Role ◽  
Third Party ◽  
Key Generation ◽  
Huge Amount ◽  
Security Issues ◽  
Hash Key ◽  
Use Of Internet ◽  
High Quality Service

Cloud Computing makes immense use of internet to store a huge amount of data. Cloud computing provides high quality service with low cost and scalability with less requirement of hardware and software management. Security plays a vital role in cloud as data is handled by third party hence security is the biggest concern to matter. This proposed mechanism focuses on the security issues on the cloud. As the file is stored at a particular location which might get affected due to attack and will lost the data. So, in this proposed work instead of storing a complete file at a particular location, the file is divided into fragments and each fragment is stored at various locations. Fragments are more secured by providing the hash key to each fragment. This mechanism will not reveal all the information regarding a particular file even after successful attack. Here, the replication of fragments is also generated with strong authentication process using key generation. The auto update of a fragment or any file is also done here. The concept of auto update of filles is done where a file or a fragment can be updated online. Instead of downloading the whole file, a fragment can be downloaded to update. More time is saved using this methodology.

scholarly journals AN EFFICIENT APPROACH TO IMPLEMENT FEDERATED CLOUDS

2017 ◽  
Vol 10 (13) ◽  
pp. 40
Author(s):  
Pappu Sowmya ◽  
R Kumar
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Low Cost ◽  
Cloud Service ◽  
Cloud Services ◽  
The Internet ◽  
Security Model ◽  
Privacy And Security ◽  
Security Issues ◽  
Internet Users

Cloud computing is one of the trending technologies that provide boundless virtualized resources to the internet users as an important services through the internet, while providing the privacy and security. By using these cloud services, internet users get many parallel computing resources at low cost. It predicted that till 2016, revenues from the online business management spent $4 billion for data storage. Cloud is an open source platform structure, so it is having more chances to malicious attacks. Privacy, confidentiality, and security of stored data are primary security challenges in cloud computing. In cloud computing, ‘virtualization’ is one of the techniques dividing memory into different blocks. In most of the existing systems there is only single authority in the system to provide the encrypted keys. To fill the few security issues, this paper proposed a novel authenticated trust security model for secure virtualization system to encrypt the files. The proposed security model achieves the following functions: 1) allotting the VSM(VM Security Monitor) model for each virtual machine; 2) providing secret keys to encrypt and decrypt information by symmetric encryption.The contribution is a proposed architecture that provides a workable security that a cloud service provider can offer to its consumers. Detailed analysis and architecture design presented to elaborate security model.

scholarly journals High security mechanism: fragmentation and replication in the cloud with auto update in the system

2020 ◽  
Vol 1 (2) ◽  
pp. 78-83
Author(s):  
Shrutika Khobragade ◽  
Rohini Bhosale ◽  
Rahul Jiwane
Keyword(s):  
Cloud Computing ◽  
Low Cost ◽  
Vital Role ◽  
Third Party ◽  
Key Generation ◽  
Huge Amount ◽  
Security Issues ◽  
Hash Key ◽  
Use Of Internet ◽  
High Quality Service

Cloud Computing makes immense use of internet to store a huge amount of data. Cloud computing provides high quality service with low cost and scalability with less requirement of hardware and software management. Security plays a vital role in cloud as data is handled by third party hence security is the biggest concern to matter. This proposed mechanism focuses on the security issues on the cloud. As the file is stored at a particular location which might get affected due to attack and will lost the data. So, in this proposed work instead of storing a complete file at a particular location, the file is divided into fragments and each fragment is stored at various locations. Fragments are more secured by providing the hash key to each fragment. This mechanism will not reveal all the information regarding a particular file even after successful attack. Here, the replication of fragments is also generated with strong authentication process using key generation. The auto update of a fragment or any file is also done here. The concept of auto update of filles is done where a file or a fragment can be updated online. Instead of downloading the whole file, a fragment can be downloaded to update. More time is saved using this methodology.

scholarly journals A REVIEW ON CLOUD COMPUTING SECURITY ISSUES AND CHALLENGES

2017 ◽  
Vol 5 (4RACSIT) ◽  
pp. 76-80
Author(s):  
Madhumala R B ◽  
Harshavardhan Tiwari
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Low Cost ◽  
Private Cloud ◽  
It Industry ◽  
Public And Private ◽  
New Developments ◽  
Security Issues ◽  
The People ◽  
It Departments

The new developments in the field of information technology offered the people enjoyment, comforts and convenience. Cloud computing is one of the latest developments in the IT industry also known as on-demand computing. It provides the full scalability, reliability, high performance and relatively low cost feasible solution as compared to dedicated infrastructures. It is the application provided in the form of service over the internet and system hardware in the data centers that gives these services. This technology has the capacity to admittance a common collection of resources on request. It is proving extremely striking to cash-strapped IT departments that are wanted to deliver better services under pressure. When this cloud is made available for the general customer on pay per use basis, then it is called public cloud. When customer develops their own applications and run their own internal infrastructure then is called private cloud. Integration and consolidation of public and private cloud is called hybrid cloud.

scholarly journals HamHeat: A fast and simple package for calculating Hamming distance from multiple sequence data for heatmap visualization

2020 ◽  
Author(s):  
Alexey V. Rakov ◽  
Dieter M. Schifferli ◽  
Shu-Lin Liu ◽  
Emilio Mastriani
Keyword(s):  
Dna Sequences ◽  
Software Package ◽  
Hamming Distance ◽  
Sequence Data ◽  
Ease Of Use ◽  
Reference Sequence ◽  
Multiple Sequence ◽  
Fast Calculation ◽  
Frequent Variant ◽  
Additional Sequence

AbstractThe problem of fast calculation of Hamming distance inferred from many sequence datasets is still not a trivial task. Here, we present HamHeat, as a new software package to efficiently calculate Hamming distance for hundreds of aligned protein or DNA sequences of a large number of residues or nucleotides, respectively. HamHeat uses a unique algorithm with many advantages, including its ease of use and the execution of fast runs for large amounts of data. The package consists of three consecutive modules. In the first module, the software ranks the sequences from the most to the least frequent variant. The second module uses the most common variant as the reference sequence to calculate the Hamming distance of each additional sequence based on the number of residue or nucleotide changes. A final module formats all the results in a comprehensive table that displays the sequence ranks and Hamming distances.Availability and implementationHamHeat is based on Python 3 and AWK, runs on Linux system and is available under the MIT License at: https://github.com/alexeyrakov/[email protected]

scholarly journals Culturing Putatively Obligate Epizoic Diatoms: Insights for the Evolution and Ecology of Diatoms and Their Host

2021 ◽  
Author(s):  
Matt Ashworth ◽  
Roksana Majewska ◽  
Thomas A Frankovich ◽  
Michael Sullivan ◽  
Sunčica Bosak ◽  
...  
Keyword(s):  
Dna Sequences ◽  
Cultured Cells ◽  
Sequence Data ◽  
Environmental Dna ◽  
Sea Turtle ◽  
Reference Sequence ◽  
Generalist Species ◽  
In The Wild ◽  
Host Ecology ◽  
Marine Megafauna

Abstract Background: Our understanding of the importance of microbiomes on large aquatic animals—such as whales, sea turtles and manatees—has advanced considerably in recent years. Recent activity describing the epizoic diatoms growing on marine vertebrates suggests that these epibiotic diatom communities constitute diverse, polyphyletic, and compositionally stable assemblages that include both putatively obligate epizoic and generalist species. Here, we outline a successful attempt to culture putatively obligate epizoic diatoms without their hosts and propose further applications and research avenues in this growing area of study. Results: We cultured cells of epizoic diatoms from multiple host species sampled in the wild and captivity. Analyzing the DNA sequences of these cultures, we found that several unique diatom taxa have independently evolved to occupy in epibiotic habitats. We created a library of reference sequence data for use in metabarcoding surveys of sea turtle and manatee microbiomes that will further facilitate the use of environmental DNA for studying host specificity in epizoic diatoms and the utility of diatoms as indicators of host ecology and health. Conclusions: Our discovery that epizoic diatoms can be cultured independently from their hosts raises several questions about the nature of the interaction between these diatom species and their hosts. We encourage the interdisciplinary community working with marine megafauna to consider including diatom sampling and diatom analysis into their routine practices.

scholarly journals Quantifying uncertainty of taxonomic placement in DNA barcoding and metabarcoding

2016 ◽  
Author(s):  
Panu Somervuo ◽  
Douglas Yu ◽  
Charles Xu ◽  
Yinqiu Ji ◽  
Jenni Hultman ◽  
...  
Keyword(s):  
Dna Barcoding ◽  
Dna Sequences ◽  
Sequence Data ◽  
Environmental Data ◽  
Reference Sequence ◽  
Future Research ◽  
List Type ◽  
Reference Databases ◽  
Sequence Databases ◽  
Taxonomic Groups

AbstractA crucial step in the use of DNA markers for biodiversity surveys is the assignment of Linnaean taxonomies (species, genus, etc.) to sequence reads. This allows the use of all the information known based on the taxonomic names. Taxonomic placement of DNA barcoding sequences is inherently probabilistic because DNA sequences contain errors, because there is natural variation among sequences within a species, and because reference databases are incomplete and can have false annotations. However, most existing bioinformatics methods for taxonomic placement either exclude uncertainty, or quantify it using metrics other than probability.In this paper we evaluate the performance of a recently proposed probabilistic taxonomic placement method PROTAX by applying it to both annotated reference sequence data as well as unknown environmental data. Our four case studies include contrasting taxonomic groups (fungi, bacteria, mammals, and insects), variation in the length and quality of the barcoding sequences (from individually Sanger-sequenced sequences to short Illumina reads), variation in the structures and sizes of the taxonomies (from 800 to 130 000 species), and variation in the completeness of the reference databases (representing 15% to 100% of the species).Our results demonstrate that PROTAX yields essentially unbiased assessment of probabilities of taxonomic placement, and thus that its quantification of species identification uncertainty is reliable. As expected, the accuracy of taxonomic placement increases with increasing coverage of taxonomic and reference sequence databases, and with increasing ratio of genetic variation among taxonomic levels over within taxonomic levels.Our results show that reliable species-level identification from environmental samples is still challenging, and thus neglecting identification uncertainty can lead to spurious inference. A key aim for future research is the completion and pruning of taxonomic and reference sequence databases, and making these two types of data compatible.

scholarly journals AN AUTHENTICATED, SECURE VIRTUALIZATION MANAGEMENT SYSTEM IN CLOUD COMPUTING

2017 ◽  
Vol 10 (13) ◽  
pp. 45
Author(s):  
K Dinesh Kumar ◽  
E Umamaheswari
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Low Cost ◽  
Cloud Service ◽  
Cloud Services ◽  
The Internet ◽  
Security Model ◽  
Privacy And Security ◽  
Security Issues ◽  
Internet Users

Cloud computing is one of the trending technologies that provide boundless virtualized resources to the internet users as an important services through the internet while providing the privacy and security. Using these cloud services, internet users get many parallel computing resources at low cost. It predicted that till 2016, revenues from the online business management spent $4 billion for data storage. Cloud is an open-source platform structure, so it is having more chances to malicious attacks. Privacy, confidentiality, and security of stored data are primary security challenges in cloud computing. In cloud computing, “virtualization” is one of the techniques dividing memory into different blocks. In most of the existing systems, there is only single authority in the system to provide the encrypted keys. To fill the few security issues, this paper proposed a novel authenticated trust security model for secure virtualization system to encrypt the files. The proposed security model achieves the following functions: (1) allotting the VM security monitor model for each virtual machine and (2) providing secret keys to encrypt and decrypt information by symmetric encryption.The contribution is a proposed architecture that provides a workable security that a cloud service provider can offer to its consumers. Detailed analysis and architecture design presented to elaborate security model. 

scholarly journals Cloud Computing Issues

2005 ◽  
Vol 4 (2) ◽  
pp. 626-630 ◽  
Author(s):  
Rini Mahajan ◽  
Dr. Dheerendra Singh
Keyword(s):  
Cloud Computing ◽  
Business Models ◽  
Low Cost ◽  
Shared Resources ◽  
Electricity Grid ◽  
Platform As A Service ◽  
Security Issues ◽  
Security Challenges ◽  
Delivery Models

Abstract- Cloud computing is Internet-based computing, whereby shared resources, software and information, are provided to computers and devices on-demand, like the electricity grid. It aims to construct a perfect system with powerful computing capability through a large number of relatively low-cost computing entity, and using the advanced business models like SaaS (Software as a Service), PaaS (Platform as a Service), IaaS (Infrastructure as a Service) to distribute the powerful computing capacity to end users’ hands. Cloud Computing represents a new computing model that poses many demanding security issues at all levels, e.g., network, host, application, and data levels. The variety of the delivery models presents different security challenges depending on the model and consumers’ Quality of Service (QoS) requirements. Confidentiality, Integrity, Availability, Authenticity, and Privacy are essential concerns for both Cloud providers and consumers as well. This paper introduces the existing issues in cloud computing such as security, privacy, reliability and so on. This paper surveys the security problems of current cloud computing.

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