Privacy-preserving security solution for cloud services

AbstractWe propose a novel privacy-preserving security solution for cloud services. Our solution is based on an efficient non-bilinear group signature scheme providing the anonymous access to cloud services and shared storage servers. The novel solution offers anonymous authenticationfor registered users. Thus, users' personal attributes (age, valid registration, successful payment) can be proven without revealing users' identity, and users can use cloud services without any threat of profiling their behavior. However, if a user breaks provider's rules, his access right is revoked. Our solution provides anonymous access, unlinkability and the confidentiality of transmitted data. We implement our solution as a proof of concept applicationand present the experimental results. Further, we analyzecurrent privacy preserving solutions for cloud services and group signature schemes as basic parts of privacy enhancing solutions in cloud services. We compare the performance of our solution with the related solutionsand schemes

Efficient Security Solution for Privacy Cloud Services

In this paper, we exhibit a novel protection protecting security answer for cloud services. We manage client nameless access to cloud benefits and imparted stockpiling servers. Our answer furnishes enlisted clients with unacknowledged access to cloud services. Our answer offers unacknowledged verification. This implies that clients' close to home qualities (age, legitimate enrollment, fruitful installment) can be demonstrated without uncovering clients' character. Accordingly, clients can utilize services without any risk of profiling their conduct. Then again, if clients break supplier's tenets, their right to gain entrance rights are renounced. We dissect current security safeguarding answers for cloud services and layout our answer in light of cutting edge cryptographic segments. Our answer offers nameless access, unlinkability and the privacy of transmitted information. Also, we execute our answer and we yield the trial comes about and look at the execution with related arrangements

Attribute Based Encryption with Privacy Preserving In Clouds

Security and privacy are very important issues in cloud computing. In existing system access control in clouds are centralize d in nature. The scheme uses a symmetric key approach and does not supp ort authentication. Symmetric key algorithm uses same key for both encryption and decryption. The authors take a centralized approach where a single key distribution center (KDC) distribute secret keys and attributes to all users. A new decentralized acce ss control scheme for secure data storage in clouds that supports anonymous authentication. The validity of the user who stores the data is also verified. The proposed scheme is resilient to replay attacks. In this scheme using Secure Hash algorithm for au thentication purpose, SHA is the one of several cryptographic hash functions, most often used to verify that a file has been unaltered. The Paillier crypto system, is a probabilistic asymmetric algorithm for public key cryptography. Paillier algorithm used f or Creation of access policy, file accessing and file restoring process

Attribute-based cloud storage with secure provenance over encrypted data

National Research Foundation (NRF) Singapore; AXA Research Fun

Blockchain for Transparent Data Management Toward 6G

The wealth of user data acts as a fuel for network intelligence toward the sixth generation wireless networks (6G). Due to data heterogeneity and dynamics, decentralized data management (DM) is desirable for achieving transparent data operations across network domains, and blockchain can be a promising solution. However, the increasing data volume and stringent data privacy-preservation requirements in 6G bring significantly technical challenge to balance transparency, efficiency, and privacy requirements in decentralized blockchain-based DM. In this paper, we investigate blockchain solutions to address the challenge. First, we explore the consensus protocols and scalability mechanisms in blockchains and discuss the roles of DM stakeholders in blockchain architectures. Second, we investigate the authentication and authorization requirements for DM stakeholders. Third, we categorize DM privacy requirements and study blockchain-based mechanisms for collaborative data processing. Subsequently, we present research issues and potential solutions for blockchain-based DM toward 6G from these three perspectives. Finally, we conclude this paper and discuss future research directions.Huawei Technologies Canada || Natural Sciences and Engineering Research Council of Canad

ENABLING ANONYMOUS ENDORSEMENT IN CLOUDS WITH DECENTRALIZED ACCESS CONTROL

A decentralized access control scheme for data storage in clouds that supports anonymous authentication authentication. In this scheme, the cloud checks the validity of the series without knowing the user's identity before storing data. It also has the added feature of access control in which only valid users are able to decrypt the stored information. This prevents replay attacks and supports conception, variation, and reading data stored in the cloud. It also supports user revocation . This is an important property because a user, revoked of its attributes, might no longer be able to write to the cloud. Moreover, our authentication and access control scheme is decentralized and robust, unlike other access control schemes designed for clouds which are centralized. The communication, computation, and storage overheads are comparable to centralized approaches

The Secure Data Sharing Mechanism for Cloud Computing Based Cloud Storage System

Secure cloud storage, which is an emerging cloud service, is designed to protect the confidentiality of outsourced data but also to provide flexible data access for cloud users whose data is out of physical control. The emergence of cloud infrastructure has significantly reduced the costs of hardware and software resources in computing infrastructure. To ensure security, the data is usually encrypted before it’s outsourced to the cloud. Unlike searching and sharing the plain data, it is challenging to search and share the data after encryption. Nevertheless, it is a critical task for6 the cloud service provider as the users expect the cloud to conduct a quick search and return the result without losing8 data confidentiality. To overcome these problems, Finally, the proposed construction21 is demonstrated practical and efficient in the performance and property comparison. However, the use of CP-ABE may yield an inevitable security breach which is known as the misuse of access credential (i.e. decryption rights), due to the intrinsic “all-or-nothing” decryption feature of CP-ABE. In this paper, we investigate the two main cases of access credential misuse: one is on the semi-trusted authority side, and the other is on the side of cloud user. To mitigate the misuse, We also present the security analysis and further demonstrate the utility of our system via experiments

Secure Searching Mechanism for Cloud Computing Based Cloud Storage System

Cloud computing has been considered an enterprise for IT infrastructure, which can organize huge resource of computing, storage and applications, and enable users to enjoy ubiquitous, convenient on-demand network access to a configurable computing resources with great efficiency and minimal economic overhead for shared pool. Attracted by these appealing features, both individuals and enterprises are motivated to contract out their data to the cloud, instead of purchasing software and hardware to manage the data themselves. So far, most of the works have been proposed under different threat models to achieve various search functions, such as single keyword search, similarity search, multi- keyword Boolean search, ranked search, multi-keyword ranked search, etc. Among them, multikeyword ranked search achieves more attention for its practical applicability. propose a secure and ranked multikeyword search protocol in a multi-owner cloud model over encrypted cloud data