Cloud Storage Privacy Research Articles

Reversible data hiding in encrypted images based on secret sharing and hierarchical embedding

With the increasing emphasis on information security, reversible data hiding technology in encrypted images (RDH-EI) has been widely applied in cloud storage privacy protection in recent years. However, once the data hider is leaked or compromised, the current algorithm of RDH-EI will encounter the challenge of effectiveness and security. In order to tackle this issue, this paper proposes an RDH-EI scheme based on secret sharing and hierarchical embedding. First, an image secret sharing based on (4, 6)-threshold algorithm is proposed. This algorithm aims to combine image encryption and sharing processes to generate six different encrypted images with vertical correlation. Sending them in encrypted form to cloud storage is beneficial for protecting the semantics of cover image. Then, the hierarchical embedding method is suggested to attain a high embedding payload. In this approach, by analyzing the vertical correlation of adjacent pixels, we have designed three mapping rules based on multi-MSB prediction. Among them, case 1 reserves the highest embedding capacity, case 2 follows, and case 3 has no embedding space. Based on this, the paper can adaptively embed secret data. Finally, fully authorized users can extract secret data and restore the original image by decrypting four or more marked encrypted images. Experimental results indicate that our approach surpass some existing RDH-EI approaches in payload, which average payloads in the best case on the BOSSbase and BOWS-2 datasets reach 4.466 bpp and 4.152 bpp, respectively. Additionally, the proposed RDH-EI method transfers and stores image data in a distributed manner, which helps prevent excessive concentration of power by data hiders and misuse of data. Compared to traditional end-to-end RDH-EI schemes, the proposed approach offers higher security.

Searchable Public-Key Encryption With Cryptographic Reverse Firewalls for Cloud Storage

In order to protect data privacy in cloud storage, sensitive data is encrypted before being uploaded to a cloud server. How to retrieve ciphertext safely and effectively has become a problem. Public key encryption with keyword search (PEKS) realizes the retrieval of ciphertexts in clouds without disclosing secret information. However, most PEKS protocols can not resist an keyword guessing attack (KGA) launched by untrusted cloud servers. Meanwhile, these protocols are unable to detect vulnerabilities, resulting in information leakage. In this paper, we design a searchable public-key encryption with cryptographic reverse firewalls (SPKE-CRF), and use the JPBC library to implement the protocol. Security analysis shows that the SPKE-CRF protocol can resist a chosen keyword attack (CKA), a KGA, and an algorithm substitution attack (ASA) without secure channels. Performance analysis shows that the SPKE-CRF protocol has a significant communication and computational cost advantage while being resistant to the KGA and ASA from malicious insider attackers in cloud environments. Therefore, our SPKE-CRF protocol is secure and efficient for cloud storage.

An efficient data flow material model based cloud authentication data security and reduce a cloud storage cost using Index-level Boundary Pattern Convergent Encryption algorithm

The cloud server stores its unique DE-duplicate data replication cloud storage system as outsourced only data copies. Deduplication cloud storage audits can verify the integrity of data stored in the cloud, while the cloud calculates the need to maintain only one copy of the copied file. The existing de-duplication auditing solutions for cloud storage are vulnerable to brute-force dictionary attacks, which is a disclosure leakage of user privacy and more time consumption to find a duplicate files in cloud. Users must check the integrity of lightweight cloud computing data to create data authentication and retrieve files in the cloud. The proposed system uses a secure Array Preserving Triple Data Encryption (AP3DE) algorithm to verify with confidence the expertise of aggregate technology. In this method to analysis the user upload document before store on cloud. The aggregator to provide an authentication access the data access role to cloud user. Cloud protects the privacy, confidentiality, and integrity of data stored in the cloud by generating the code of the authentication file and the encryption key of the file through the proposed system test. The Index-level Boundary Pattern Convergent Encryption (IBPCE) algorithm integrates dynamic data handling and data exclusion capabilities for secure cloud storage privacy security public audits. The cloud data security using a Convergent international data encryption algorithm used to encrypted data. It is a 64 bit plaintext and cipher text blocks is controlled by 128 bit key. Analysis of safety and efficiency shows that the proposed mechanism is highly efficient and safe. In this proposed IBPCE method to manage and reduce the cloud storage compare to other existing method.

Identification of Various Security Issues, Threats and A Novel Service Model in Cloud Computing

Cloud Computing is a robust, less cost, and an effective platform for providing services. Nowadays, it is applied in various services such as consumer business or Information Technology (IT) carried over the Internet. This cloud computing has some risks of security because, the services which are required for its effective compilation is outsources often by the third party providers. This makes the cloud computing more hard to maintain and monitor the security and privacy of data and also its support. This sudden change in the process of storing data towards the cloud computing technology improved the concerns about different issues in security and also the various threats present in this cloud storage. In the concept of security in cloud storage, various threats and challenges are noted by recent researchers. Hence, an effective framework of providing security is required. The main aim of this paper is to analyze various issues in securing the cloud data threats present in the cloud storage and to propose a novel methodology to secure it. This paper also identifies the most crucial components that can be incorporated in the already existing security measures while designing the storage systems based on cloud. This study also provides us to identify all the available solutions for the challenges of security and privacy in cloud storage.

Cloud Storage Privacy in Health Care Systems Based on IP and Geo-Location Validation Using K-Mean Clustering Technique

Cloud-based platforms are helping organizations like health care systems to improve conditions of patients and saving their lives. Medical professionals are making use of cloud technology to collect information regarding patients more than before and exchange it over different geographical regions. However, the exchange of patient data and information is taking place via complex systems with huge vulnerabilities and risks. In this article, the authors have outlined a model for preserving privacy in data storage used in health care systems by validating access to the data through IP based detection and geographical location-based security techniques. Later, the privacy is enabled by using k-mean clustering technique for validating the user access and avail subscriptions whenever consumer want to use the organization services. The authors also provide the concept of using constant key length encryption technique to secure data on cloud storage irrespective of the type of user.

Enhancing Cloud Storage Privacy (CSP) Based on Hybrid Cryptographic Techniques

Cloud computing has emerged as a new technology model for providing customized, high quality and reliable services for clients over the Internet. These clients can rent the services as long as they need rather than owning and maintaining large expensive IT infrastructure. One of the most used cloud services is the cloud storage as it provides storage on demand service. Nevertheless, due to the structure of cloud services which may not fully be managed by the cloud clients, the privacy and security of cloud storage become a significant challenge. Most of the previous works on the cloud security trying to solve the security challenges with data encryption techniques. However, these solutions do not protect data from being exposed or read by the server administrator or owner. In this paper, we have proposed a hybrid novel solution referred to as Cloud Storage Privacy (CSP) paradigm to enhance the privacy policies for cloud storage. This framework solution combines three of the superior cryptographic techniques: RSA, AES and Block-Chain. The solution not only secures the asset in the cloud but also protects the asset from unauthorized server access and improving user password protection. We have compared the proposed solution with the best based on our knowledge cloud storage services which are Google Drive and Dropbox in terms of performance and security. The result shows that the proposed solution outperforms existing services.

Cloud Storage Privacy and Security User Awareness

There are many factors influencing the user awareness level of privacy and security concerns when storing data on the cloud. One such factor is the users' cultural background, which has been an inspiration to many studies comparing various cultures. Along those lines, this paper compares the user awareness level between Dutch and Macedonian users, which has not been investigated before. An online study was conducted to measure users' attitude towards privacy and security of data in the cloud-based systems. The research process was conducted by delivering an online survey to Computer Science students and employees working in different software companies in the Netherlands and Macedonia. The comparative analysis indicates that there are differences in user's attitude towards storing private data in the cloud. The results of this paper demonstrate that Dutch compared to Macedonian users in general have higher level of awareness regarding the privacy and security of cloud storage.

A Survey on Cloud Storage Privacy Preserving Public Auditing for Regenerating Code

A Survey on Cloud Storage Privacy Preserving Public Auditing for Regenerating Code