Delegation across storage clouds: on-boarding federation as a case study

Many organizations provide computing resources or services to the client like hardware, software, storage etc. Storage is one of important service that is popular and commonly used today and it provides storage space online to store the data. Service providers give a storage space to consumers on the basis of renting criteria with a trust of high and powerful security. Consumer and organizations uses these storages to secure own personal data. There are many reasons come across that causes to move data from one place to another. Some of them are: reconstruction of storage, backup, new technologies, security etc. So, data migration, data transfer between different cloud storages, often requires. Achieving mechanism of Data migration between clouds is very difficult because of its different architecture to store data. For example Window Azure cloud storage creates a primary key name ID automatically whenever a new table is created. Architecture of cloud storage is depending upon its implementation done by corresponding cloud vendors (like Microsoft). The main vision of this research work is to provide an intermediate service to move the data between both homogeneous and heterogeneous cloud storages. This intermediate service is a two way strategy that built in a SOA technology called WCF that helps the clients, organizations to move data between same and different cloud storages (Window Azure and Go Daddy cloud storages mainly used in this research work).

<span lang="EN-US">Cloud Computing is the ability to improve the utility or train new human resources without investing in new infrastructure, or add capabilities to existence without the latest software licensing. It expanded the capabilities of Information Technology (IT). From the past few years, cloud computing has developed from a good business concept in the best rising sectors of the IT industry. But more information on individuals and companies was put in the cloud, and concerns began to think about how secure the cloud environment was. Despite cloud surrounding structures, enterprise users still do not want to expand their business in the cloud. Security reduces the growth of cloud computing and continues to spread the market with complexity with data privacy and data protection. The security of cloud computing has constantly been an significant aspect of improved quality of service from cloud service providers. Data storage in the cloud has a problem related to data security. However, cloud computing construct many new security challenges which have not been well examine. In order to ensure that the user's data in the cloud is secure, we have proposed an effective mechanism with a distinctive feature of data integrity and privacy. This paper focusing on problems relating to the cloud data storage techniques and security in virtual environment. We recommend a method for providing data storage and security in cloud using public key Cryptosystem, which uses the concept of the modified RSA algorithm to provide better security for the data stored in the cloud. </span>

Cloud computing is the most demanded advanced technology throughout the world. It is one of the most significant topic whose application is being researched in today's time. One of the prominent services offered in cloud computing is the cloud storage. With the cloud storage, data is stored on multiple third party servers, rather than on the dedicated server used in traditional networked data storage. All data stored on multiple third party servers is not cared by the user and no one knows where exactly data saved. It is cared by the cloud storage provider that claims that they can protect the data but no one believes them. Data stored over cloud and flow through network in the plain text format is security threat. This paper proposes a method that allows user to store and access the data securely from the cloud storage. It also guarantees that no one except the authenticated user can access the data neither the cloud storage provider. This method ensures the security and privacy of data stored on cloud. A further advantage of this method is that if there is security breach at the cloud provider, the user's data will continue to be secure since all data is encrypted. Users also need not to worry about cloud providers gaining access to their data illegally.

Using cloud data clients may transfer data from their computer systems to cloud servers. Hence, user will not have any burden of maintenance and also he gets high quality data storage services. Many security issues are concerned with cloud storage. Cloud service providers or storage servers are not completely trustworthy. The user is concerned about the information stored on cloud are in place or not turns. This paper is based on homomorphic hash algorithm. Further this supports dynamic operations such as insert, update, delete and modify at block level, for data dynamics Merkle Hash Tree is used which helps to find the location of each dynamic operation. Third party auditor checks the user's data for correctness and gives the accuracy of the data that is stored in cloud server. The communication and computation overhead are reduced. Deduplication technique is used to check whether the file that user need to store in cloud storage is already exist at cloud server or not. This framework is effective and secure against replace attack launch by malicious server.

Increasing the utilization of internet technology gave birth to the new challenges in the protection of privacy and personal data, especially with the increasing collection practices, the utilization and dissemination of one's personal data. Regulatory instruments and failed to become one of the trigger mechanism of the weak protection of privacy and personal data in particular in the use of cloud storage technology. Cloud storage is a technology which uses the internet and a central server that much to keep or manage user data. Cloud storage allows users to use the application without the install so that personal files can be accessed anywhere and at any time through internet access. This technology enables efficiency by concentrating storage, data processing and memory. However, on the other hand, cloud storage has raised new legal issues, namely how the personal data of users of cloud storage are protected from a variety of disclosure and distribution by cloud storage service providers to third parties.

Cloud storage attribute libraries usually store a large amount of sensitive data such as personal information and trade secrets. Attackers adopt diverse and complex attack methods to target the cloud storage attribute database, which makes the defense work more challenging. In order to realize the secure storage of information, an attribute based cloud storage anti-attack algorithm based on dynamic authorization access is proposed. According to the characteristic variables of the sample, the data correlation matrix is calculated, and the principal component analysis method is adopted to reduce the dimension of the data, build the anti-attack code model, simulate the dynamic authorization access rights, and calculate the packet loss rate according to the anti-attack flow. Design the initialization stage, cluster stage and cluster center update stage to realize the attack prevention of cloud storage attribute database. The experimental results show that the proposed algorithm can accurately classify the anti-attack code, has good packet processing ability, relatively short page request time, and anti-attack success rate is higher than 90%, which can effectively ensure the stability of the algorithm.

Searchable encryption schemes support selective retrieval of encrypted data stored in the cloud storage. However, extending this scheme to support diverse set of users to selectively share and retrieve data from the cloud storage still remains as a challenge; it requires managing the access control policies of the users by a third party, the cloud provider. When multiple users are involved, the system needs to ensure that only controlled information is disclosed to a legitimate user and also a dishonest user colluding with the cloud provider cannot leak any thing beyond the granted privileges. The proposed model is designed to support fine grained search control on selected set of documents by authorized users. The system does not require shared keys or expensive trusted third parties. The search complexity is linear to the number of documents that can be accessed by an authorized user and is also secure against the possible leakage due to collusion attack. The security of the system is proved using rigorous security analysis.

This article highlights the significance of database encryption and offers an extensive examination of various encryption techniques that have been proposed. With data security being a top priority for governments, companies, and organizations, the need to protect databases from cyberattacks is imperative. Over the years, numerous encryption schemes have been developed to safeguard databases from unauthorized access. Cloud storage is crucial for remote data storage, but many establishments are concerned about the security of their files when they are sent to the cloud. To maintain the integrity of stored data, data encryption techniques are necessary. While businesses once believed that cloud providers could manage all their data securely, it has become evident that cloud providers cannot always honor such commitments when responding to government information requests. This study emphasizes the importance of database encryption and provides a comprehensive overview of various encryption techniques.

Multi-authority proxy re-encryption based on CPABE for cloud storage systems

Cloud Storage Forensics

Leading social media Facebook has improved its architecture to meet user needs. Facebook has improved its systems to handle millions of users with heavy workloads and large datasets using innovative architectural solutions and adaptive strategies. The study examines Facebook’s architectural and technological advances in heavy workload and big data. To understand how Facebook scaled with a growing user base and data volume, history and system architecture will be examined. It will also examine how cloud storage and high-performance computing optimize resource utilization and maintain performance during peak user activity. Facebook is managing big data and heavy workloads with new technologies like the hybrid communication model that uses PULL and PUSH strategies for real-time messaging. Facebook switched from HBase to MyRocks for message storage to improve performance as data grew. Architectural scaling and technology stack research must prioritize data storage innovations and optimized communication protocols to handle heavy workloads and big data. The messenger Sync protocol reduces network congestion and improves synchronous communication, reducing resource consumption and maintaining performance under high load. High-performance computing (HPC) and cloud storage should be studied together to support complex compute workflows. This convergence may improve large-scale application infrastructures and encourage interdisciplinary collaboration for scalable and resilient systems.

Cloud computing is evolving technology because of its reduced expenditure, maintenance and dynamic resource pooling provision, on demand service, virtualization & high availability. Security & privacy are the major issues in the cloud environment because of its distributed and open architecture. As Data is stored and delivered across the Internet. The owner has no knowledge of where this data exist geographically. Cloud storage mainly helps small and medium scale industries to minimize their investments on storage server's as well as their maintenance. Cloud storage is efficient for data storage. User's data is sent to the cloud for storage. Data stored on cloud might mingle with data of other users'. This will lead to the data protection issues in cloud storage. The rising issue of information abuse emphasizes the need to protect the data. This paper provides an approach for securing data before storing it on the cloud as well as reducing the amount of space required for storage.

This paper focuses on studying cloud storage data protection model and implementing encrypted storage of user data in double-key form. User data are encrypted with symmetric encryption algorithm and this secret key is encrypted with asymmetric encryption algorithm. The private key is managed and controlled by users. In this way, users guarantee the security of their own data with the sole private key. Providing effective protection for uploading and downloading of user data and good data storage and transmission support for cloud storage application through the data protection mechanism deployed at client, thus solving the biggest obstacle, i.e. security of cloud data in the application of cloud storage enterprises currently to a certain extent.

Public cloud storages such as Box, Dropbox, Google Drive or OneDrive provide a great services of file storing, sharing and collaboration. But these services are provided at the cost of storage providers having access to all users data. This is a very serious security issue and is an obstacle which discourages many individuals and businesses from using these services. Many security solutions have been emerged in recent years to allow using the cloud storages in a secure way. However the design of advanced cloud encryption gateway which will secure users data in clouds without compromising their usability and convenience is a hard scientific and technical problem. In this paper we will review the existing solutions and will briefly introduce our own solution called Skycryptor which provides a perfect secrecy for users without compromising other advantages offered by cloud storage providers.KeywordsCloud encryption gatewaySecure file sharingDropbox securityGoogle drive securityEncrypted driveEncrypted dropboxSkycryptor

Attribute-based encryption has been widely employed to achieve data confidentiality and fine-grained access control in cloud storage. To enable users to identify accessible data in numerous dataset, clear attributes should be appended to the ciphertext, which results in the exposure of attribute privacy. In this paper, we propose an efficient attribute-based access control with authorized search scheme (EACAS) in cloud storage by extending the anonymous key-policy attribute-based encryption (AKP-ABE) to support fine-grained data retrieval with attribute privacy preservation. Specifically, by integrating the key delegation technique into AKP-ABE, EACAS enables data users to customize search policies based on their access policies, and generate the corresponding trapdoor using the secret key granted by the data owner to retrieve their interesting data. In addition, a virtual attribute with no semantic meaning is utilized in data encryption and trapdoor generation to empower the cloud to perform an attribute-based search on the outsourced ciphertext without knowing the underlying attributes or outsourced data. The data owners can achieve fine-grained access control on their outsourced data, and the data users are flexible to search their interesting data based on protected attributes through customizing the search policies. Finally, we demonstrate that EACAS is more efficient than existing solutions on computation and storage overheads.