Questions On Data Owner Database

A company allows its staffs in the same groupor department to store and share files in the cloud. By utilizing the cloud, the staffs can be completely released from the troublesome local data storage and maintenance.However, it also poses a significant risk to the confidentialityof those stored files. Specifically, the cloud serversmanaged by cloud providers are not fully trusted by userswhile the data files stored in the cloud may be sensitive andconfidential, such as business plans. To preserve dataprivacy, a basic solution is to encrypt data files, and thenupload the encrypted data into the cloud. Unfortunately,designing an efficient and secure data sharing scheme forgroups in the cloud is not an easy task due to the followingchallenging issues.First, identity privacy is one of the most significantobstacles for the wide

The algorithm is executed by the owner to encrypt the plaintext of $D$ as follows:

It converts the functions for the application layer data. It compresses the data allowing it to be encrypted and more secure. It represents the data in graphical formats such as in JPEG, BMP, MPEG etc. as well as characterising the characters into text or ASCII.

They addressed the SkNN problem under the following setting: the client has the ciphertexts of all data points in database T and the encryption function of T, whereas the server has the decryption function of T and some auxiliary information regarding each data point. Both methods [51, 98], however, are not secure because they are vulnerable to chosen-plaintext attacks. All the above methods also leak data access patterns to the server. Recently, Yao et al. [99] proposed a new SkNN method based on partition-based a Secure Voronoi Diagram (SVD). Instead of asking the cloud to retrieve the exact kNN, they required the cloud to retrieve a relevant encrypted partitionEpk(G) for Epk(T)such that G is guaranteed to contain the k-nearest neighbors of q. This work, however, solves the SkNN problem accurately by letting the cloud retrieve the exact k-Nearest Neighbors of q (in encrypted form). Additionally, most of the computations during the query processing step in [51, 99, 105] are performed locally by the end-user. That conflicts with the purpose of outsourcing the DataBase Management System (DBMS) functionalities to the cloud. Furthermore, the protocol in secure nearest neighbor revisited[99] leaks data access patterns, such

In the Cash’s scheme it returns result in a specific order and supports the Multi-keyword search.Naveed’s scheme construct the blind storage in order to hide the access pattern of the data user but it only support the single keyword search. Our EMRS can attain the Multi-keyword search and returns relevant files using blind storage.

User can store their data on cloud and reveal from the local data storage and its maintenance. Cloud is in a distributive in nature includes shared pool of configuring resources both in hardware and software. As an increasing number of clients who store their

In other words, the person who owns the data have power and control over it as well According to Loshin, 2002 "The control of information includes not just the ability to access, create, modify, package, derive benefit from, sell or remove data, but also the right to assign these access privileges to others"

From the viewpoint of data security, which has always been an important form of quality of service, Cloud computing surely poses new challenging security threats for number of reasons. Firstly, traditional cryptographic primitives for the purpose of data security protection cannot be straight accepted due to users loss control of data under cloud computing. Therefore, verification of correct data storage in the cloud must be attended without accurate knowledge of the whole data. Considering different kind of data for every user stored in the cloud and the requirement of long term continuous security of their data safety, the problem of checking correctness of data storage in the cloud becomes even more challenging.[1]

Imperva provides user rights management and the identification of excessive rights over sensitive data. With effective user rights management, customers can reduce the risk of a data breach. User Rights Management for Databases (URMD) enables security, database administrators, and audit teams to focus on rights associated with sensitive data. Utilizing URMD, associations can prove compliance with guidelines such as SOX, HIPPA and diminish the risk of data breaches.

In cloud computing, to protect data from leaking, users need to encrypt their data before being shared. Access control [6], [7] is paramount as it is the first line of defense that prevents unauthorized access to the shared data. With the burgeoning of network technology and mobile terminal, online data sharing has become a new “pet”, such as Facebook, MySpace, and Badoo. Meanwhile, cloud is one of the most promising application platforms to solve the explosive expanding of data sharing. In cloud computing, to protect data from leaking, users need to encrypt their data before being shared. Access control is paramount that prevents unauthorized access to the shared data. Recently, attribute-based encryption (ABE) has been attracted

We consider a cloud computing environment consisting of a cloud service provider (CSP), a data owner, and many users [few with read and few with both read/write permission]. The CSP maintains cloud infrastructures, which pool the bandwidth, storage space, and CPU power of many cloud servers to provide 24/7 services. The CSP mainly provides two services: data storage and re-encryption. After obtaining the encrypted data from the data owner, the CSP will store the data. On receiving a data access request from a user, the CSP will re-encrypt the ciphertext based on attributes, and return the re-encrypted ciphertext.

Modern day computing systems rely on a distributed system for data, functions and services. Arguably all popular software such as Uber, Spotify, Facebook and Fitbit among others, host their data and applications on dedicated servers to allow for user access services through their devices. The challenge with server based systems is that the integrity and security of private data is left out to third parties, nowadays established as corporations who offer hosting services for applications database and file storage. The main advantage of cloud based models is that customers do not have to pay for the installation of data storage and processing capabilities for applications (Jadeja,

accessed by everyone. The data stored in the multi cloud is verified and examined in different ways to make it efficient. The integrity of the data is very important in data operations as we are using a lot of different platforms in particular. Because the process of integrity verification of data in multi cloud storage it ensures us that the data is of high quality, correct, more consistent and easily accessible by the clients. Some of the integrity verification methods are homomorphic verifiable response and hash index hierarchy. We prove the security of our data based on multi prover zero-knowledge proof system, which can satisfy completeness, knowledge soundness, and zero-knowledge

one of the important data compression techniques for eliminating the duplicate copies of repeating data is the data deduplication, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. This method is useful when there are number of copies that having the duplication in private cloud, which will reduce the amount of repeated files after applying this technique we will be obtaining the files with no duplication .To protect the confidentiality of sensitive data while supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. To better protect data security, this paper makes the first attempt to formally address the problem of authorized data deduplication. Different from the traditional deduplication systems, the differential privileges of users are further considered in duplicate check besides the data itself. We also present several new deduplication constructions supporting authorized duplicate check in private cloud architecture. As we are using the private cloud architecture which makes our processing removal of the duplicate files easily. more than that security that is been provided in this is mostly high . Security analysis demonstrates that our scheme is secure in terms of the definitions specified in the proposed security model. As a proof of concept, we implement a prototype of our proposed authorized duplicate check scheme and conduct testbed

Abstract: Cloud technology is very constructive and usefulin present new technological era, where a person uses the internet and the remote servers to give and maintain data as well as applications. Such applications in turn can be used by the end users via the cloud communications without any installation. Moreover, the end users‟ data files can be accessed and manipulated from any other computer using the internet services. Despite the flexibility of data and application accessing and usage that cloud computing environments provide, there are many questions still coming up on how to gain a trusted environment that protect data and applications in clouds from hackers and intruders. Cloud storage should be able to store and share data securely, efficiently, and flexibly with others in cloud storage. The costs and complexities involved generally increase with the number of the decryption keys to be shared. The encryption key and decryption key are different in public key encryption. Since we are proposing new era of Aggregate key cryptography. To produce constant length ciphertext is also one of important task that we have materialized. In this paper, we propose a simple, efficient, and publicly verifiable approach to ensure cloud data security while sharing between