scholarly journals Markle Hellman Knapsack Crypto-System Auditing Scheme for Privacy Preserving in Cloud Storage

2019 ◽  
Vol 8 (12) ◽  
pp. 5231-5238
Keyword(s):  
Cloud Computing ◽  
Generation Time ◽  
Cloud Storage ◽  
Data Integrity ◽  
Privacy Preserving ◽  
Key Generation ◽  
On Demand ◽  
Storage Overhead ◽  
And Storage ◽  
Cloud Users

Cloud computing is an on demand paradigm which provides a different kind of services to the cloud users. Cloud storage is the most popular service, as the data owners are free from the data management and storage overhead. However, the data owners’ concern about the security of the data. In order to address this issue, this paper presents an efficient security with an auditing scheme that guarantees the security of the data and preserve data integrity. In this paper, the cloud storage auditing model used efficient privacy preserving algorithm, namely Markle Hellman Knapsack Crypto-System (MHKCS) algorithm. This algorithm effectively improves the data integrity, confidentiality and security. Moreover, reduces the key generation time, encryption time and decryption time. The performance of MHKCS algorithm is calculated using evaluation metrics like encryption time, decryption time, key generation time and communication cost. The MHKCS algorithm achieved approximately 10% better performance in terms of encryption time than the existing methods RSA, MRSA, and MRSAC.

Data Integrity Techniques in Cloud Computing: An Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 121 ◽  
Author(s):  
Neha Thakur ◽  
Aman Kumar Sharma
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Data Integrity ◽  
Advantages And Disadvantages ◽  
Security Models ◽  
Cloud Storage Service ◽  
Storage Service ◽  
Cloud Users ◽  
It Enterprises

Cloud computing has been envisioned as the definite and concerning solution to the rising storage costs of IT Enterprises. There are many cloud computing initiatives from IT giants such as Google, Amazon, Microsoft, IBM. Integrity monitoring is essential in cloud storage for the same reasons that data integrity is critical for any data centre. Data integrity is defined as the accuracy and consistency of stored data, in absence of any alteration to the data between two updates of a file or record.  In order to ensure the integrity and availability of data in Cloud and enforce the quality of cloud storage service, efficient methods that enable on-demand data correctness verification on behalf of cloud users have to be designed. To overcome data integrity problem, many techniques are proposed under different systems and security models. This paper will focus on some of the integrity proving techniques in detail along with their advantages and disadvantages.

Examining IoT's Applications Using Cloud Services

2018 ◽  
pp. 147-163 ◽  
Author(s):  
Saravanan K ◽  
P. Srinivasan
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Distributed Computing ◽  
Knowledge Sharing ◽  
Effective Communication ◽  
Cloud Services ◽  
On Demand ◽  
Computing Paradigm ◽  
Iot Devices ◽  
And Storage

Cloud IoT has evolved from the convergence of Cloud computing with Internet of Things (IoT). The networked devices in the IoT world grow exponentially in the distributed computing paradigm and thus require the power of the Cloud to access and share computing and storage for these devices. Cloud offers scalable on-demand services to the IoT devices for effective communication and knowledge sharing. It alleviates the computational load of IoT, which makes the devices smarter. This chapter explores the different IoT services offered by the Cloud as well as application domains that are benefited by the Cloud IoT. The challenges on offloading the IoT computation into the Cloud are also discussed.

scholarly journals SLA-aware resource scheduling algorithm for cloud storage

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Yong Wang ◽  
Xiaoling Tao ◽  
Feng Zhao ◽  
Bo Tian ◽  
Akshita Maradapu Vera Venkata Sai
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Scheduling Algorithm ◽  
The Public ◽  
Computing Paradigm ◽  
Self Service ◽  
End Node ◽  
Violation Rate ◽  
And Storage ◽  
Compare And Contrast

AbstractCloud computing is a novel computing paradigm, which connects plenty of computing resources and storage resources via Internet. Cloud computing provides a number of high-quality services, such as cloud storage, outsourcing computing, and on-demand self-service, which have been widely accepted by the public. In cloud computing, by submitting their tasks to cloud, plenty of applications share huge computation and storage resources. However, how to schedule resource efficiently is a big challenge in cloud computing.In this paper, we propose a SLA-aware resource algorithm to enable cloud storage more efficiently. In our scheme, we take advantage of the back-end node space utilization and I/O throughput comprehensively simultaneously. We compare and contrast the existing scheduling storage policies by implementing those algorithms. The extensive tests show that our algorithm achieves a considerable improvement in terms of violation rate and the number of used hosts.

scholarly journals Secure Deduplication Based on Rabin Fingerprinting over Wireless Sensing Data in Cloud Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Yinghui Zhang ◽  
Haonan Su ◽  
Menglei Yang ◽  
Dong Zheng ◽  
Fang Ren ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Security Analysis ◽  
Operation Time ◽  
Communication Cost ◽  
Wireless Sensing ◽  
Data Deduplication ◽  
Sensing Data ◽  
Storage Overhead ◽  
Block Level ◽  
Cloud Users

The rapid advancements in the Internet of Things (IoT) and cloud computing technologies have significantly promoted the collection and sharing of various data. In order to reduce the communication cost and the storage overhead, it is necessary to exploit data deduplication mechanisms. However, existing data deduplication technologies still suffer security and efficiency drawbacks. In this paper, we propose two secure data deduplication schemes based on Rabin fingerprinting over wireless sensing data in cloud computing. The first scheme is based on deterministic tags and the other one adopts random tags. The proposed schemes realize data deduplication before the data is outsourced to the cloud storage server, and hence both the communication cost and the computation cost are reduced. In particular, variable-size block-level deduplication is enabled based on the technique of Rabin fingerprinting which generates data blocks based on the content of the data. Before outsourcing data to the cloud, users encrypt the data based on convergent encryption technologies, which protects the data from being accessed by unauthorized users. Our security analysis shows that the proposed schemes are secure against offline brute-force dictionary attacks. In addition, the random tag makes the second scheme more reliable. Extensive experimental results indicate that the proposed data deduplication schemes are efficient in terms of the deduplication rate, the system operation time, and the tag generation time.

scholarly journals A Survey on Data Integrity Methods in Cloud Storage

2020 ◽  
Author(s):  
Anil Kumar G
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
Data Integrity ◽  
Data Consistency ◽  
Maintenance Cost ◽  
End User ◽  
Local Storage

Cloud computing offers different kind of servicesto the end user, so that end user can store the data and access iton demand where ever they need it. Now days IT industries areoutsourcing their data by storing it remotely in cloud forreducing the load on local storage there by reducing thehardware, software and maintenance cost. In spite of thesebenefits, the major problem with data storage is that there is noguarantee of data consistency and integrity, which has become amajor hurdle for using the services offered by cloud. So thispaper surveys existing schemes that proves data integrity andretrievability.

scholarly journals Privacy-preserving public auditing with data deduplication in cloud computing

2021 ◽  
Author(s):  
Naelah Abdulrahman Alkhojandi
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Cloud Services ◽  
Storage Efficiency ◽  
Data Deduplication ◽  
Public Auditing ◽  
Efficient Data ◽  
User Revocation ◽  
Public Auditability ◽  
And Storage

Storage represents one of the most commonly used cloud services. Data integrity and storage efficiency are two key requirements when storing users’ data. Public auditability, where users can employ a Third Part Auditor (TPA) to ensure data integrity, and efficient data deduplication which can be used to eliminate duplicate data and their corresponding authentication tags before sending the data to the cloud, offer possible solutions to address these requirements. In this thesis, we propose a privacy preserving public auditing scheme with data deduplication. We also present an extension of our proposed scheme that enables the TPA to perform multiple auditing tasks at the same time. Our analytical and experimental results show the efficiency of the batch auditing by reducing the number of pairing operations need for the auditing. Then, we extend our work to support user revocation where one of the users wants to leave the enterprise.

scholarly journals Encryption-Based Secure and Efficient Access Control to Out Sourced Data in Cloud Computing

2018 ◽  
Vol 7 (2.32) ◽  
pp. 315
Author(s):  
V Naresh ◽  
M Anudeep ◽  
M Saipraneeth ◽  
A Saikumar Reddy ◽  
V Navya
Keyword(s):  
Cloud Computing ◽  
Information Exchange ◽  
Cloud Storage ◽  
Storage System ◽  
Access Policy ◽  
File Access ◽  
Secure Information ◽  
Efficient Access ◽  
Security Certifications ◽  
And Storage

The cloud stockpiling framework, comprising of capacity servers, gives long haul stockpiling administrations on the Internet. Maintaining the data in the cloud computing of third parties generates: serious concern about the confidentiality of data and the reduction of data management costs. Nonetheless, we should give security certifications to outside information. We plan and actualize a protected cloud stockpiling framework that gives secure, secure and available record security for document administration and secure information exchange. It includes foreign files with a file access policy, possibly deleting files, to avoid being denied to anyone with a file access policy. To achieve these security objectives, a set of password keys is implemented that maintain a host (s) or head (s) separately. We offer a twofold edge intermediary coding plan and incorporate it with a decentralized disposal code, which is detailed with a safely Cloud storage framework. The Cloud storage system not only provides a secure and stable search and storage of data, but also allows the user to transfer their data to the user of the backup to another user without the data being returned.  

scholarly journals Privacy-preserving public auditing with data deduplication in cloud computing

2021 ◽  
Author(s):  
Naelah Abdulrahman Alkhojandi
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Cloud Services ◽  
Storage Efficiency ◽  
Data Deduplication ◽  
Public Auditing ◽  
Efficient Data ◽  
User Revocation ◽  
Public Auditability ◽  
And Storage

Storage represents one of the most commonly used cloud services. Data integrity and storage efficiency are two key requirements when storing users’ data. Public auditability, where users can employ a Third Part Auditor (TPA) to ensure data integrity, and efficient data deduplication which can be used to eliminate duplicate data and their corresponding authentication tags before sending the data to the cloud, offer possible solutions to address these requirements. In this thesis, we propose a privacy preserving public auditing scheme with data deduplication. We also present an extension of our proposed scheme that enables the TPA to perform multiple auditing tasks at the same time. Our analytical and experimental results show the efficiency of the batch auditing by reducing the number of pairing operations need for the auditing. Then, we extend our work to support user revocation where one of the users wants to leave the enterprise.

scholarly journals A Review of Evolutionary Trends in Cloud Computing and Applications to the Healthcare Ecosystem

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Mbasa Joaquim Molo ◽  
Joke A. Badejo ◽  
Emmanuel Adetiba ◽  
Vingi Patrick Nzanzu ◽  
Etinosa Noma-Osaghae ◽  
...  
Keyword(s):  
Cloud Computing ◽  
New Technologies ◽  
Service Providers ◽  
Fog Computing ◽  
Cloud Service ◽  
The Internet ◽  
On Demand ◽  
Cloud Service Providers ◽  
Computational Resources ◽  
And Storage

Cloud computing is a technology that allows dynamic and flexible computing capability and storage through on-demand delivery and pay-as-you-go services over the Internet. This technology has brought significant advances in the Information Technology (IT) domain. In the last few years, the evolution of cloud computing has led to the development of new technologies such as cloud federation, edge computing, and fog computing. However, with the development of Internet of Things (IoT), several challenges have emerged with these new technologies. Therefore, this paper discusses each of the emerging cloud-based technologies, as well as their architectures, opportunities, and challenges. We present how cloud computing evolved from one paradigm to another through the interplay of benefits such as improvement in computational resources through the combination of the strengths of various Cloud Service Providers (CSPs), decrease in latency, improvement in bandwidth, and so on. Furthermore, the paper highlights the application of different cloud paradigms in the healthcare ecosystem.

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