A comprehensive meta-analysis of cryptographic security mechanisms for cloud computing

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The concept of cloud computing offers measurable computational or information resources as a service over the Internet. The major motivation behind the cloud setup is economic benefits, because it assures the reduction in expenditure for operational and infrastructural purposes. To transform it into a reality there are some impediments and hurdles which are required to be tackled, most profound of which are security, privacy and reliability issues. As the user data is revealed to the cloud, it departs the protection-sphere of the data owner. However, this brings partly new security and privacy concerns. This work focuses on these issues related to various cloud services and deployment models by spotlighting their major challenges. While the classical cryptography is an ancient discipline, modern cryptography, which has been mostly developed in the last few decades, is the subject of study which needs to be implemented so as to ensure strong security and privacy mechanisms in today’s real-world scenarios. The technological solutions, short and long term research goals of the cloud security will be described and addressed using various classical cryptographic mechanisms as well as modern ones. This work explores the new directions in cloud computing security, while highlighting the correct selection of these fundamental technologies from cryptographic point of view

Efficient Method Based on Blockchain Ensuring Data Integrity Auditing with Deduplication in Cloud

With the rapid development of cloud storage, more and more cloud clients can store and access their data anytime, from anywhere and using any device. Data deduplication may be considered an excellent choice to ensure data storage efficiency. Although cloud technology offers many advantages for storage service, it also introduces security challenges, especially with regards to data integrity, which is one of the most critical elements in any system. A data owner should thus enable data integrity auditing mechanisms. Much research has recently been undertaken to deal with these issues. In this paper, we propose a novel blockchain-based method, which can preserve cloud data integrity checking with data deduplication. In our method, a mediator performs data deduplication on the client side, which permits a reduction in the amount of outsourced data and a decrease in the computation time and the bandwidth used between the enterprise and the cloud service provider. This method supports private and public auditability. Our method also ensures the confidentiality of a client's data against auditors during the auditing process

An extensive research survey on data integrity and deduplication towards privacy in cloud storage

Owing to the highly distributed nature of the cloud storage system, it is one of the challenging tasks to incorporate a higher degree of security towards the vulnerable data. Apart from various security concerns, data privacy is still one of the unsolved problems in this regards. The prime reason is that existing approaches of data privacy doesn't offer data integrity and secure data deduplication process at the same time, which is highly essential to ensure a higher degree of resistance against all form of dynamic threats over cloud and internet systems. Therefore, data integrity, as well as data deduplication is such associated phenomena which influence data privacy. Therefore, this manuscript discusses the explicit research contribution toward data integrity, data privacy, and data deduplication. The manuscript also contributes towards highlighting the potential open research issues followed by a discussion of the possible future direction of work towards addressing the existing problems

Blockchain & Multi-Agent System: A New Promising Approach for Cloud Data Integrity Auditing with Deduplication

Recently, data storage represents one of the most important services in Cloud Computing. The cloud provider should ensure two major requirements which are data integrity and storage efficiency. Blockchain data structure and the efficient data deduplication represent possible solutions to address these exigencies. Several approaches have been proposed, some of them implement deduplication in Cloud server side, which involves a lot of computation to eliminate the redundant data and it becomes more and more complex. Therefore, this paper proposed an efficient, reliable and secure approach, in which the authors propose a Multi-Agent System in order to manipulate deduplication technique that permits to reduce data volumes thereby reduce storage overhead. On the other side, the loss of physical control over data introduces security challenges such as data loss, data tampering and data modification. To solve similar problems, the authors also propose Blockchain as a database for storing metadata of client files. This database serves as logging database that ensures data integrity auditing function

A Dynamic Proxy Oriented Approach for Remote Data Integrity checking along with Secure Deduplication in Cloud

In Cloud computing users store data over remote servers instead of computer�s hard drive. This leads to several security problems since data is out of the control of the user. So, to protect against the security attacks and to preserve the data integrity in the cloud, Huaqun Wang et.al proposed proxy oriented remote data integrity checking (RDIC). However, this scheme only focuses on one-way validation i.e clients have to know whether their files are stored integrally in the cloud. But this scheme does not address the problem of duplication which is essential with increasing demand for cloud storage. And as users are untrusted from the perspective of the server, there is a need to prove the ownership of the files. The proposed work considers the requirement of mutual validation. In this paper we propose a new construction of Identity based RDIC along with secure deduplication. The proposed scheme avoids burden of complex key management and flexible as it support anyone to verify the contents of the data apart from the data owner and incurs less computation cost as token generation is done by the proxy instead of user

Secure Auditing and Maintaining Block Level Integrity with Reliability of Data in Cloud

Cloud storage systems are becoming increasingly popular and popular and the cloud computing is getting enhance day by day it needs to provide more security with secure auditing. For storing large and large amount of data in cloud, requires more space and data can be replicated which will increase the space and cost too unnecessarily. To avoid this deduplication needs to be done. So , in this paper, pondering the main issue of honesty and secure deduplication on cloud information. Specifically, going for achieving both information uprightness as well as deduplication in cloud. And in this paper, proposing the algorithm which will audit securely and provide block level deduplication as well as it will maintain reliability of data in clou

Secure data storage and retrieval in cloud computing

Nowadays cloud computing has been widely recognised as one of the most inuential information technologies because of its unprecedented advantages. In spite of its widely recognised social and economic benefits, in cloud computing customers lose the direct control of their data and completely rely on the cloud to manage their data and computation, which raises significant security and privacy concerns and is one of the major barriers to the adoption of public cloud by many organisations and individuals. Therefore, it is desirable to apply practical security approaches to address the security risks for the wide adoption of cloud computing

Ranked Keyword Search and Secure Data Sharing In Cloud Environment

The cloud computing innovation appeared amid the21st century; outsourcing data to cloud benefit for capacity turns into a helpful yet proficient pattern, which benefits in saving endeavors on data support and administration. In this work, we concentrate the issue of secure de-duplication on cloud data, likewise guaranteeing integrity. In particular, going for accomplishing both data integrity and de-duplication in cloud, we propose a framework, specifically cloud. Cloud presents an auditing element with support of the cloud, which creates hash esteem before transferring and audit the integrity of data having been put away in cloud. Contrasted and past work, the calculation by client in D-Cloud is extraordinarily lessened amid the document transferring and auditing stages. Cloud is planned understanding the way that clients dependably need to encode their data being transferred, and empowers integrity auditing and secure de-duplication on scrambled data. The primary danger for this cloud data stockpiling is data security as far as keeps up data integrity and data deduplication on cloud. Taking care of both issue normal time is the troublesome assignment. SecCloud and SecCloud+ are two new cloud auditing frameworks which help in keeping up cloud data integrity with productive data deduplication, In SecCloud framework, client can ready to create data labels before putting away data on cloud which encourages amid performing audit to check integrity of data, opposite side SecCloud+ framework give encryption of data before transferring it, which empowers integrity check and secure deduplication of encoded data