A Review on Cloud Computing

Puri, Gurmeher Singh; Tiwary, Ravi; Shukla, Supriya

doi:10.1109/confluence.2019.8776907

Cited by 16 publications

(5 citation statements)

References 15 publications

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“…Despite the flexibility cloud computing offers in accessing and utilizing applications and data, concerns persist about ensuring a secure environment that protects information and applications from unauthorized access and breaches [15,16,17]. In response to these security challenges, the proposed research approach takes into consideration various security flaws and employs both AES encryption and role-based access control methods to enhance data protection and prevent potential breaches.…”

Section: Results Discussionmentioning

confidence: 99%

“…While there are various definitions of cloud computing, they all emphasize its serviceoriented nature rather than being solely focused on applications. This service-oriented approach not only reduces infrastructure and ownership costs but also grants users more flexibility and improved efficiency [15,16]. However, the storage of data in the cloud raises significant concerns regarding privacy and security [17].…”

Section: Cloud Computingmentioning

confidence: 99%

“…Different service suppliers employ various policies and mechanisms tailored to the type and scale of data to achieve this goal. Cloud computing offers the advantage of data sharing among multiple organizations [15,16], but this also poses a potential risk to data. Protecting data sources becomes imperative to prevent any potential threats.…”

Section: Cloud Computingmentioning

confidence: 99%

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Enhanced Cauchy Matrix Reed-Solomon Codes and Role-Based Cryptographic Data Access for Data Recovery and Security in Cloud Environment

Vijay R. Sonawane

2023

IJRITCC

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In computer systems ensuring proper authorization is a significant challenge, particularly with the rise of open systems and dispersed platforms like the cloud. Role-Based Access Control (RBAC) has been widely adopted in cloud server applications due to its popularity and versatility. When granting authorization access to data stored in the cloud for collecting evidence against offenders, computer forensic investigations play a crucial role. As cloud service providers may not always be reliable, data confidentiality should be ensured within the system. Additionally, a proper revocation procedure is essential for managing users whose credentials have expired. With the increasing scale and distribution of storage systems, component failures have become more common, making fault tolerance a critical concern. In response to this, a secure data-sharing system has been developed, enabling secure key distribution and data sharing for dynamic groups using role-based access control and AES encryption technology. Data recovery involves storing duplicate data to withstand a certain level of data loss. To secure data across distributed systems, the erasure code method is employed. Erasure coding techniques, such as Reed-Solomon codes, have the potential to significantly reduce data storage costs while maintaining resilience against disk failures. In light of this, there is a growing interest from academia and the corporate world in developing innovative coding techniques for cloud storage systems. The research goal is to create a new coding scheme that enhances the efficiency of Reed-Solomon coding using the sophisticated Cauchy matrix to achieve fault tolerance

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Section: Results Discussionmentioning

confidence: 99%

Section: Cloud Computingmentioning

confidence: 99%

Section: Cloud Computingmentioning

confidence: 99%

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Enhanced Cauchy Matrix Reed-Solomon Codes and Role-Based Cryptographic Data Access for Data Recovery and Security in Cloud Environment

Vijay R. Sonawane

2023

IJRITCC

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“…Atlas2 is a downloadable package containing a suite of all the necessary tools for analyzing WES and WGS data produced from Roche 454, Illumina, and SOLiD platforms (Puri, Tiwary & Shukla, 2019). It is built using the Software-as-a-Service (SaaS) technology (Rumale & Chaudhari, 2017), which allows it to be deployed using two different cloud scenarios: local cloud and commercial cloud.…”

Section: Pipelines For Wgs and Wes Data Processing And Variant Callingmentioning

confidence: 99%

Genomics pipelines to investigate susceptibility in whole genome and exome sequenced data for variant discovery, annotation, prediction and genotyping

Ahmed

Renart

Zeeshan

2021

PeerJ

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Over the last few decades, genomics is leading toward audacious future, and has been changing our views about conducting biomedical research, studying diseases, and understanding diversity in our society across the human species. The whole genome and exome sequencing (WGS/WES) are two of the most popular next-generation sequencing (NGS) methodologies that are currently being used to detect genetic variations of clinical significance. Investigating WGS/WES data for the variant discovery and genotyping is based on the nexus of different data analytic applications. Although several bioinformatics applications have been developed, and many of those are freely available and published. Timely finding and interpreting genetic variants are still challenging tasks among diagnostic laboratories and clinicians. In this study, we are interested in understanding, evaluating, and reporting the current state of solutions available to process the NGS data of variable lengths and types for the identification of variants, alleles, and haplotypes. Residing within the scope, we consulted high quality peer reviewed literature published in last 10 years. We were focused on the standalone and networked bioinformatics applications proposed to efficiently process WGS and WES data, and support downstream analysis for gene-variant discovery, annotation, prediction, and interpretation. We have discussed our findings in this manuscript, which include but not are limited to the set of operations, workflow, data handling, involved tools, technologies and algorithms and limitations of the assessed applications.

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“…This allows data retrieval at any time and location. In recent years, both organizations and ordinary users have become interested in storing data in the cloud [3]. Although clouds are gaining popularity, issues related to information safety, confidentiality, dependability, and interoperability still need to be addressed [4].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Review and Analysis of Cryptography Techniques in Cloud Computing

Sasikumar,

Nagarajan

2024

IEEE Access

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Cloud computing is a fast-growing industry that offers various online services, including software, computing resources, and databases. Its payment model is usage-based, whereas consistency is based on resource-sharing. Cloud storage is popular among individuals and businesses because it reduces cost, increases productivity, boosts performance, and improves security. However, cloud computing comes with security risks as data are stored with third-party providers, and Internet access limits visibility and control. Effective data security and data protection are key issues compared with traditional on-premise computing. There are several methods for ensuring data security in the cloud, of which cryptography is the most important. Cryptography offers a range of security features including authentication, confidentiality, integrity, and availability. However, a thorough examination of the different cryptography methods in a single study is lacking. This study comprehensively examined different cryptography methods, including deoxyribose nucleic acid (DNA), elliptic curve, homomorphic, hybrid, lightweight, and novel methods. The analysis addresses their methodology, algorithms, results, applications, and limitations and provides valuable suggestions for data security in the cloud. This paper proposes the use of elliptic curve cryptography (ECC) to ensure safe communication and lightweight cryptography for Internet of Things (IoT) devices with limited resources. This emphasizes the benefit of combining asymmetric security with symmetric efficiency in hybrid cryptography.

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A Review on Cloud Computing

Cited by 16 publications

References 15 publications

Enhanced Cauchy Matrix Reed-Solomon Codes and Role-Based Cryptographic Data Access for Data Recovery and Security in Cloud Environment

Enhanced Cauchy Matrix Reed-Solomon Codes and Role-Based Cryptographic Data Access for Data Recovery and Security in Cloud Environment

Genomics pipelines to investigate susceptibility in whole genome and exome sequenced data for variant discovery, annotation, prediction and genotyping

Comprehensive Review and Analysis of Cryptography Techniques in Cloud Computing

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