A Protected And Lightweight Data Distribution Program For Mobile Cloud Computing

Because of the widespread adoption of cloud computing, mobile devices may now store and access personal data from any location at any time. As a result, the data security issue in mobile cloud is becoming increasingly serious, impeding the growth of mobile cloud. There have been several researches undertaken in order to enhance cloud security. However, because mobile devices have limited processing capabilities and power, the majority of them are not suitable for mobile cloud. Mobile cloud applications require solutions with a low computational overhead. We propose a lightweight data sharing mechanism for mobile cloud computing in this work. It provides attribute description fields to achieve lazy-revocation, which is a difficult problem in CP-ABE systems based on programs. The experimental findings suggest that when users share data in mobile cloud settings, a lightweight data sharing technique may effectively minimize the overhead on the mobile device side

Efficient Keyword Search over Encrypted Cloud Data

AbstractWith the advent of cloud computing, most of the data owners are outsourcing their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But sensitive data has to be encrypted before outsourcing, for protecting data privacy. However data encryption makes effective data utilization a challenging task. Traditional data utilization based keyword search on encrypted data is a difficult task. Thus, enabling an encrypted cloud data search service is of paramount importance. Considering the large number of data users and documents in the cloud, it is necessary to allow keyword search request and return documents in the order of their relevance to these keyword. In this paper we proposed a system that supports multi-owner keyword ranked search over the encrypted cloud data with good key management scheme. Thorough security and performance analysis show that the proposed scheme guarantees high security and practical efficiency

Semantic Search Approach in Cloud

With the approach of cloud computing, more and more information data are distributed to the public cloud for economic savings and ease of access. But, the encryption of privacy information is necessary to guarantee the security. Now a days efficient data utilization, and search over encrypted cloud data has been a great challenge. Solution of existing methods depends only on the keyword of submitted query and didn�t examine the semantics of keyword. Thus the search schemes are not intelligent and also omit some semantically related documents. To overcome this problem, we propose a semantic expansion based similar search solution over encrypted cloud data. The solution of this method will return not only the exactly matched files, but also the files including the terms semantically related to the query keyword. In this scheme, a corresponding file metadata is constructed for each file. After this, both the encrypted file metadata set and file collection are uploaded to the cloud server. With the help of metadata set file, the cloud server maintains the inverted index and create semantic relationship library (SRL) for the keywords set. After receiving a query request from user , this server firstly search out the keywords that are related to the query keyword according to SRL. After this, both the query keyword and the extensional words are used to retrieve the files to fulfill the user request. These files are returned in order according to the total relevance score. Our detailed security analysis shows that our method is privacy-preserving and secure than the previous searchable symmetric encryption (SSE) security definition. Experimental evaluation demonstrates the efficiency and effectives of the scheme

IGSK: Index Generation on Split Keyword for search over cloud data

Storage as a Service (Saas) of cloud computing has become an alternative option for data owners of various organizations to store their data into the cloud. Usually sensitive data is encrypted to achieve data security and then it is outsourced into cloud. Many traditional search schemes allow data user to search over encrypted cloud data through keywords and retrieve the files of interest selectively. In this paper, we propose an efficient approach for keyword search over encrypted cloud data. The main contribution of this paper involves index generation method for keywords by using split factor. The keywords are stored in wildcard based technique within the index tree that is stored securely with low storage cost. Extensive experimental results on real-time data sets shows that the proposed solution is effective as well as efficient in Index generation and storage cost

Split keyword fuzzy and synonym search over encrypted cloud data

A substitute solution for various organizations of data owners to store their data in the cloud using storage as a service(SaaS). The outsourced sensitive data is encrypted before uploading into the cloud to achieve data privacy. The encrypted data is search based on keywords and retrieve interested files by data user using a lot of traditional Search scheme. Existing search schemes supports exact keyword match or fuzzy keyword search, but synonym based multi-keyword search are not supported. In the real world scenario, cloud users may not know the exact keyword for searching and they might give synonym of the keyword as the input for search instead of exact or fuzzy keyword due to lack of appropriate knowledge of data. In this paper, we describe an efficient search approach for encrypted data called as Split Keyword Fuzzy and Synonym Search (SKFS). Multi-keyword ranked search with accurate keyword and Fuzzy search supports synonym queries are a major contribution of SKFS. The wildcard Technique is used to store the keywords securely within the index tree. Index tree helps to search faster, accurate and low storage cost. Extensive experimental results on real-time data sets shows, the proposed solution is effective and efficient for multi-keyword ranked search and synonym queries Fuzzy based search over encrypted cloud data. © 2017 Springer Science+Business Media, LL

A secure data outsourcing scheme based on Asmuth – Bloom secret sharing

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Data outsourcing is an emerging paradigm for data management in which a database is provided as a service by third-party service providers. One of the major benefits of offering database as a service is to provide organisations, which are unable to purchase expensive hardware and software to host their databases, with efficient data storage accessible online at a cheap rate. Despite that, several issues of data confidentiality, integrity, availability and efficient indexing of users’ queries at the server side have to be addressed in the data outsourcing paradigm. Service providers have to guarantee that their clients’ data are secured against internal (insider) and external attacks. This paper briefly analyses the existing indexing schemes in data outsourcing and highlights their advantages and disadvantages. Then, this paper proposes a secure data outsourcing scheme based on Asmuth–Bloom secret sharing which tries to address the issues in data outsourcing such as data confidentiality, availability and order preservation for efficient indexing

Performance Study of Cryptography based Dynamic Multi-Keyword Searchable Security Algorithm in Cloud Using CRSA /B+ Tree

Today, Cloud computing is a buzz word in IT industry. Cloud, a shared pool of computing resources, allows access to needed resources on demand through internet and web applications. Since data is outsourced to third party, user needs to maintain the accountability of their data in cloud. Hence preserving the confidentiality and securing the sensitive data in cloud is a major concern. Many cryptographic techniques have been proposed by researchers to assure the confidentiality of the user2019;s data in cloud. But, the challenging task is to provide the secure search over this preserved data which has been encrypted so as to retrieve the effective data. Hence, we are proposing a system to have a secure search over the encrypted data on the cloud which preserves its confidentiality. In our system, a noble approach has been made using the Commutative-RSA algorithm, a cryptographic technique where the dual encryption takes place thus reducing the overall computation overhead. The search operation over the encrypted data is based on the tree search algorithm which supports multi-keyword search. Based on the relevance score, the more appropriate data is retrieved on the search operation. Using this approach, the information is not leaked when the encrypted data is searched by users and also the queries are handled in an efficient way. Finally, we demonstrate the effectiveness and efficiency of the proposed schemes through extensive experimental evaluation

Towards a secure and efficient search over encrypted cloud data

Includes bibliographical references.2016 Summer.Cloud computing enables new types of services where the computational and network resources are available online through the Internet. One of the most popular services of cloud computing is data outsourcing. For reasons of cost and convenience, public as well as private organizations can now outsource their large amounts of data to the cloud and enjoy the benefits of remote storage and management. At the same time, confidentiality of remotely stored data on untrusted cloud server is a big concern. In order to reduce these concerns, sensitive data, such as, personal health records, emails, income tax and financial reports, are usually outsourced in encrypted form using well-known cryptographic techniques. Although encrypted data storage protects remote data from unauthorized access, it complicates some basic, yet essential data utilization services such as plaintext keyword search. A simple solution of downloading the data, decrypting and searching locally is clearly inefficient since storing data in the cloud is meaningless unless it can be easily searched and utilized. Thus, cloud services should enable efficient search on encrypted data to provide the benefits of a first-class cloud computing environment. This dissertation is concerned with developing novel searchable encryption techniques that allow the cloud server to perform multi-keyword ranked search as well as substring search incorporating position information. We present results that we have accomplished in this area, including a comprehensive evaluation of existing solutions and searchable encryption schemes for ranked search and substring position search