Secure Cloud Data Storage Research Articles

Enhanced Data Security from Single Clouds to Multiclouds

Cloud is an emerging technology that stores the necessary data and electronic form of data is produced in gigantic quantity. It is vital to maintain the efficacy of this data the need of data recovery services is highly essential. Cloud computing is anticipated as the vital foundation for the creation of IT enterprise and it is an impeccable solution to move databases and application software to big data centers where managing data and services is not completely reliable. Our focus will be on the cloud data storage security which is a vital feature when it comes to giving quality service. It should also be noted that cloud environment comprises of extremely dynamic and heterogeneous environment and because of high scale physical data and resources, the failure of data centre nodes is completely normal.Therefore, cloud environment needs effective adaptive management of data replication to handle the indispensable characteristic of the cloud environment. Disaster recovery using cloud resources is an attractive approach and data replication strategy which attentively helps to choose the data files for replication and the strategy proposed tells dynamically about the number of replicas and effective data nodes for replication. Thus, the objective of future algorithm is useful to help users together the information from a remote location where network connectivity is absent and secondly to recover files in case it gets deleted or wrecked because of any reason. Even, time oriented problems are getting resolved so in less time recovery process is executed.

DNA Cryptography for Secure Data Storage in Cloud

Cloud computing has revolutionized the way the data is stored, processed and made available. It has evolved in various forms of utility computing by sharing resources, infrastructures and data storage facilities and got wide acceptance because of its services and storage capacities. But security issues are a major concern in the cloud which is restricting its use among organizations which deals with sensitive data such as health care, Pharmaceuticals etc. and remain one of the greatest inhibitors for the adoption of Cloud computing if the security issues continue. For data protection, various techniques evolved through years for Ciphers, Cryptography, Steganography and recently DNA based encryption for security is the trend. DNA cryptography was a breakthrough in the field of security which uses bio-molecular concepts and gives us new hope of unbreakable algorithms but the concepts need to be exploited more especially in the cloud computing. This paper discusses cloud computing features, service models, security issues and proposes a DNA based encryption algorithm for securing data in cloud environment which will be cost effective and secure by using bio-computational techniques. The suggested algorithm uses indexing and DNA steganography techniques along with binary coding rules which make algorithm secure as it is an additional layer of biosecurity than conventional cryptographic techniques.

Secure data storage in cloud computing to avoiding some cipher text attack

Nowadays, cloud computing has become popular for storage of data. Yet, flexibility and security are the significant parameters for better transmission. Sharing data with others may lead to security and flexibility issues. Key cryptosystem is a technique in which, decryption rights for a set of cipher texts are efficiently assigned. Key aggregation will be performed by the power of all keys, when they are aggregated. But the delegated keys or aggregate keys stored in the mobile device are prompt to leakage. Hence, we need to design a leakage-resilient cryptosystem which reduces key leakage attacks. For leakage-resilient cryptosystem, we propose Hash-Proof System techniques; which will be applied on chosen cipher text key leakages and other key leakages. A number of cipher text classes are predefined in our approach.

Secure cloud data storage approach in e-learning systems

This is the period of worldwide communication which is a very interesting and inspiring time in the domain of information technology. The modern daily lives may enrich based on Technical advancement in the internet sector. The gaining attractiveness of sophistication on the internet field, the creation of improved web oriented learning environment is become the interesting and latest area on researching remote education. The cloud computing based e-learning is plays a crucial and most powerful role in the area of education and learning. This paper proposes to encrypt the message using data encryption standard and to encode the message using erasure code before storing the message in the e-learning storage system. At the end of encoding, the encoded messages are saved in cloud data center. So, reconstruction is easy with low bandwidth and low traffic if any data center failure and Storing time is convincingly good in Reed Solomon code. It is mainly focused on distributed data storage security for e-learning system, which has always been an important aspect of quality service.

IDOCA and ODOCA - Enhanced Technique for Secured Cloud Data Storage

IDOCA and ODOCA - Enhanced Technique for Secured Cloud Data Storage

New Hybrid Approach for Secure Data Storage in Cloud Computing Environment

> Cloud storages in cloud data centers are used for enterprises and individuals to store and access their data remotely anywhere anytime without any additional burden. By data outsourcing, users can relieve the burden of local data storage and maintenance. However, one of the major problems of cloud environment is data storage security. Therefore, data auditing is introduced to verify the data in the cloud storages with the aid of Third Party Auditor (TPA). However, the TPA is leased by cloud service provider and after a time the provider may contract with the TPA to conceal the loss of data from the user to prevent the defamation. This paper presents a new hybrid approach for data storage security in cloud computing to protect organizations’ data from the cloud provider, the third party auditor and some users who may use their old accounts to access the data stored on the cloud. The hybrid approach enhances the authentication level of security by combining two efficient authentication techniques; Time-based One Time Password (TOTP) for cloud users verification and Automatic Blocker Protocol (ABP) to fully protect the system from unauthorized TPA. The experimental results demonstrate the effectiveness and efficiency of the proposed approach when auditing shared data integrity.

Distributed Scheme to Authenticate Data Storage Security in Cloud Computing

Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces database and application software to the large data centres, where the management of services and data may not be predictable, where as the conventional solutions, for IT services are under proper logical, physical and personal controls. This aspect attribute, however comprises different security challenges which have not been well understood. It concentrates on cloud data storage security which has always been an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent features. Homomorphic token is used for distributed verification of erasure – coded data. By using this scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centres, where the data management and services may not be absolutely truthful. This effective security and performance analysis describes that the proposed scheme is extremely flexible against malicious data modification, convoluted failures and server clouding attacks.

An Improved Homomorphic Encryption for Secure Cloud Data Storage

Retracted: After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

A Survival Study on Integrity based Hashing Techniques for Secured Cloud Data Storage

A Survival Study on Integrity based Hashing Techniques for Secured Cloud Data Storage

A Secured Cloud Data Storage with Access Privilages

In proposed framework client source information reinforcements off-site to outsider distributed storage benefits to decrease information administration costs. In any case, client must get protection ensure for the outsourced information, which is currently safeguarded by outsiders. A configuration and instrument FADE, and a safe overlay distributed storage framework that achieve fine-grained, strategy based methodology control and document guaranteed erasure. It partners outsourced records with document association approaches, and without a doubt erases records to make them unrecoverable to endless supply of document access arrangements, To accomplish such security objectives, FADE is based upon an arrangement of cryptographic key operations that are self-kept up by a majority of key supervisors that are free of outsider mists. In unmistakable, FADE goes about as an overlay framework that works flawlessly on today's distributed storage administrations. Actualize a proof-of-idea model of FADE on Amazon S3, one of today's distributed storage administrations. By behavior broad true studies, and confirm that FADE gives security insurance to source information, while presenting just insignificant behavior and financial cost overhead. My work oversee, esteem included security highlights acclimatize were today's distributed storage administration.

Distributed Authentication for Federated Clouds in Secure Cloud Data Storage

Objective: The main objective of our approach is to define federative cloud environment set up and define security considerations of each user independently in a multi-cloud data storage. Methods/Statistical Analysis: For secure data outsourcing in cloud data storage, we propose to use (KASE) Key Aggregate Searchable Encryption for aggregate key based data sharing in the cloud. But KASE is the single key based policy for data sharing in single cloud. We extend KASE to multi cloud storage with Reliable Reasoning Power (RRP) for protection of the federative cloud environment. Findings: By applying above two methods in cloud setup, we find two basic parameters as advantages, i.e. 1. Aggregate Key based data sharing in the cloud with efficient and reliable data security. 2. Data storage and security for single user in federative cloud environment. Applications/Improvement: Our proposed methodology achieves following applications when compare to conventional methodology (i.e. KASE) i.e., 1. With respect to time RRP performs effective file uploading when compare to KASE. 2. Security and Data storage in RRP is efficient (whenever we consider server performance).

Secure Data Storage in Cloud by Decentralized Access Control

Cloud computing is recently developed new emerging technology for complex systems with massive-scale services sharing among numerous users, where user can rent the storage and computing resources of server provided by a company. Users only require a terminal, a smart phone or tablet connected to the internet. Cloud can store huge amount of data, so the mobile users do not have to carry their data. Therefore, security of data, privacy of user and authentication of both users and services is a significant issue for the trust and security of cloud computing. In order to achieve safe storage, we proposed a secure cloud storage scheme providing access to the data using RSA publickey encryption algorithm and digital signature scheme. In this scheme, the cloud verifies the authenticity of the series without knowing the user’s identity before storing data. Access control feature is also added by which only a valid users are able to decrypt the stored information. This scheme also prevents replay attack and supports creation, modification, and reading data stored in cloud. Time based user Revocation scheme is also used. Also we compared performance of our system with the 3DES system on the basis of encryption and decryption of data.

Renaissance System Model Improving Security and Third Party Auditing in Cloud Computing

Cloud computing is the developing design of IT enterprise. Applications and the services that are present over the Internet are referred by the cloud computing. Critical issues on security and trust based are often a major problem in cloud computing. Different levels of security enforcement are offered by both public and private clouds. Auditing plays a vital role in evaluating an individual, process, system, product or an enterprise. A renaissance system model has been proposed for secure data storage in cloud. The proposed model involves four entities: Data owners, the cloud, cloud service provider and third party auditor (TPA). The TPA has the ability to create the awareness in order to bring out the public audits in the cloud having the coded data. The outcome seems to be trusted and is impartial for both the cloud servers and the data owners. The proposed model is a semi trusted proxy agent that performances instead of the data owner in order to reinstate the data blocks that are obtained during the repair process. Renaissance system model is proposed and implemented into the test bed.

A Review of Enhanced Technique for Cloud Data Storage Security Using Data Slicing

A Review of Enhanced Technique for Cloud Data Storage Security Using Data Slicing

Trust Enhanced Cryptographic Role-Based Access Control for Secure Cloud Data Storage

Cloud data storage has provided significant benefits by allowing users to store massive amount of data on demand in a cost-effective manner. To protect the privacy of data stored in the cloud, cryptographic role-based access control (RBAC) schemes have been developed to ensure that the data can only be accessed by those who are allowed by access policies. However, these cryptographic approaches do not address the issues of trust. In this paper, we propose trust models to reason about and to improve the security for stored data in cloud storage systems that use cryptographic RBAC schemes. The trust models provide an approach for the owners and roles to determine the trustworthiness of individual roles and users, respectively, in the RBAC system. The proposed trust models consider role inheritance and hierarchy in the evaluation of trustworthiness of roles. We present a design of a trust-based cloud storage system, which shows how the trust models can be integrated into a system that uses cryptographic RBAC schemes. We have also considered practical application scenarios and illustrated how the trust evaluations can be used to reduce the risks and to enhance the quality of decision making by data owners and roles of cloud storage service.

Dynamic Block Level Error Recovery to Trust Multimedia Data for E-learning Cloud Based Storage Services

The purpose of the study is to design a cloud storage service to detect the maximum probability of disrupted data blocks in a timely manner for any dynamic changes of multimedia data that does not affect the cloud environment. In the current scenario, the cloud environment must gain significant quality of service for data traversing from cloud to users. The e-learning cloud based system is always a night mare because of its security constraints as cloud application service don’t give high percent of guarantee on data loss in secured layer of cloud environment. The user data stored on cloud always demands on how their private information is kept safe. This study focuses mainly on cloud data storage security for e-learning system, which has always been an important aspect of quality service. To make sure the correctness of users data within the cloud, an adaptable and effective methodology has been developed by handling dynamic data operations on the cloud data and recovery techniques are embedded by using forward error correcting algorithms applied to an e-learning web application. This extensive analysis shows that the end result which achieves blocks level data inclusion, deletion and searching dynamically along with recovery of data for malicious data modification attacks.

IJARCCE - Computer and Communication Engineering

4 Abstract: Security for the data which is stored on the cloud by user is very important issue. User may expect some security for their data from the cloud service provider, there can be serious issues regarding data security between user and service provider. To solve this kind of issues, we can use third party as an auditor. Here we have analyzed different ways to ensure secure data storage in cloud. We are going to provide the security to the user's data by using encryption technique. For this we are using the Advanced Encryption Standard algorithm for encryption and decryption. But when Cloud Service Provider has both encryption and decryption keys, there is threat to security and privacy of data. CSP may pass the user data without user's knowledge. For auditing we are introducing Third Party Auditor. Here the data will be encrypted at user side and will be in encrypted form over network and to TPA. TPA will verify the data before storing it on the cloud. There are large numbers of users of cloud computing who are accessing and modifying the data and they need the reliable service provider who can provide complete security for their data. So the TPA will audit the data and check the data integrity of client's data. No one else rather than user is able to view data. But if someone tries to access the data, and then there will be a file alert generated to the user. Hence user will have more elaborated view over his data privacy. In this paper we are providing solution for the user who needs security and privacy for their data.

Trusted Public Auditing Process for Secure Cloud Storage

Cloud computing moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about many new security challenges, which have not been well understood. The problem of ensuring the integrity of data storage in Cloud computing we introduce TPA. The proposed system is based on HLA algorithm to support data integrity. It eliminates the involvement of the client through the auditing of whether his data stored in the cloud are indeed intact, which can be important in achieving economies of scale for Cloud Computing. Cloud computing is the long dreamed vision of computing as a utility, where users can remotely store their data into the cloud so as to enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources. By data outsourcing, users can be relieved from the burden of local data storage and maintenance. Thus, enabling public auditability for cloud data storage security is of critical importance so that users can resort to an external audit party to check the integrity of outsourced data when needed.

Towards an Analysis of Data Accountability and Auditing for Secure Cloud Data Storage

Cloud technology, runs off-premise, provides an extensive information technology support and service that can offer as an on-premise version if on demanded as a virtualized solution for customers’ technological requirements. Cloud computing put together the comprehensive solutions by integrating the different technology that provision Software, Platform and Infrastructure as services. Cloud, an integrated technology that delivers a complete, open and flexible solution, leads to a critical concern over its trust. The extensive use of virtualization in cloud especially in data storage capability put forth many security concerns to the customer. It is the time to prove the customer about the strength of the cloud security through enabling their data accountability and auditing mechanism. In this work we going to provide a systematic analysis of the data accountability mechanism and auditing approaches existing now in cloud. To strengthen the customers trust over the cloud technology and service, we provided a clear enhanced view on the cloud data security and also analyze the secured way of utilizing the advantages of cloud computing.

Annexure Privacy Preserving Public Auditing for Data Storage Security in Cloud Computing

Cloud computing is the long dreamed vision of computing as a utility, where users can remotely store their data into the cloud so as to enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources. By data outsourcing, users can be relieved from the burden of local data storage and maintenance. Thus, enabling public auditability for cloud data storage security is of critical importance so that users can resort to an external audit party to check the integrity of outsourced data when needed. To securely introduce an effective third party auditor (TPA), the following two fundamental requirements have to be met: 1) TPA should be able to efficiently audit the cloud data storage without demanding the local copy of data, and introduce no additional on-line burden to the cloud user. Specifically, our contribution in this work can be summarized as the following three aspects. 2) We motivate the public auditing system of data storage security in Cloud Computing and provide a privacy-preserving auditing protocol, i.e., our scheme supports an external auditor to audit user's outsourced data in the cloud without learning knowledge on the data content. 3) To the best of our knowledge, our scheme is the first to support scalable and efficient public auditing in the Cloud Computing. In particular, our scheme achieves batch auditing where multiple delegated auditing tasks from different users can be performed simultaneously by the TPA. 4) We prove the security and justify the performance of our proposed schemes through concrete experiments and comparisons with the state-of-the-art.