scholarly journals Optimal integrity Policy for Secure Storage of Encrypted Data using Cloud Computing

2019 ◽  
Vol 8 (11) ◽  
pp. 1773-1776
Keyword(s):  
Cloud Computing ◽  
Information Search ◽  
Encrypted Data ◽  
Secure Storage ◽  
Attribute Based Encryption ◽  
Cloud Server ◽  
Single User ◽  
Bandwidth Overhead ◽  
And Storage ◽  
Being Moved

Cloud computing is very common at reduced price because of its computing and storage ability. To reduce storage costs, an ever increasing number of information are being moved to the cloud. Then again, since the cloud isn't completely dependable, they are usually encrypted before uploading to shield information protection from outsiders and even the cloud server. However, many activities on encrypted information, such as searching, are difficult to conduct. Searchable encryption has emerged to solve this issue. It is much less effective to search for encryption in multi-user environment than in single-user environment. As a foundation of attribute-based encryption to solve this issue a multi-user searchable system is suggested. Our system also keeps information safe in opposition to the cloud server in the cloud. It enables users with suitable permissions to conduct encrypted information search activities. Furthermore, customers generate search tokens instead of information holders. We demonstrate that in our system, token privacy and index privacy are all around ensured. No helpful data about search tokens and ciphertexts can be obtained from the cloud server and illegal users. Our scheme's ciphertexts are constant in size, reducing our scheme's time-complexity and bandwidth overhead.

scholarly journals Implementation of User Centric SSE for Privacy-Preserving and Enhancing Searching Efficiency in Cloud Environment

2019 ◽  
Vol 8 (10) ◽  
pp. 3093-3098
Keyword(s):  
Cloud Computing ◽  
Keyword Search ◽  
Financial Model ◽  
Encrypted Data ◽  
Searchable Symmetric Encryption ◽  
Cloud Server ◽  
User Data ◽  
And Storage ◽  
Cloud Users ◽  
Access Data

Cloud computing allows the users geographically located to access data and application from a cloud which follows the pay-as-you-go financial model. This technology provides a method to enhance the capabilities dynamically without having to spend in new infrastructure or training personnel. Cloud computing promises to offer reliable services to the customer through the construction of next-generation data centers and storage technology. With its wide advantages, cloud computing has emerged as fast emergent segments of the IT. Hence data security is a major concern for cloud users. One solution to this is that user can apply encryption techniques on data before sending it to the cloud server. But encrypted data limits the server’s capability to make plaintext keyword search. Keyword search functionality that can function over the encrypted data is desirable but no information about the searched keyword or the retrieved document should not compromise in this process. Our implementation of searchable symmetric encryption proves that it is not vulnerable to such things and preserves privacy of user data and query.

scholarly journals Efficient verifiable fuzzy keyword search over encrypted data in cloud computing

2013 ◽  
Vol 10 (2) ◽  
pp. 667-684 ◽  
Author(s):  
Jianfeng Wang ◽  
Hua Ma ◽  
Qiang Tang ◽  
Jin Li ◽  
Hui Zhu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Keyword Search ◽  
Efficiency Analysis ◽  
Sensitive Data ◽  
Encrypted Data ◽  
Proposed Model ◽  
Cloud Server ◽  
Encryption Schemes ◽  
User Data ◽  
Fuzzy Keyword Search

As cloud computing becomes prevalent, more and more sensitive data is being centralized into the cloud by users. To maintain the confidentiality of sensitive user data against untrusted servers, the data should be encrypted before they are uploaded. However, this raises a new challenge for performing search over the encrypted data efficiently. Although the existing searchable encryption schemes allow a user to search the encrypted data with confidentiality, these solutions cannot support the verifiability of searching result. We argue that a cloud server may be selfish in order to save its computation ability or bandwidth. For example, it may execute only a fraction of the search and returns part of the searching result. In this paper, we propose a new verifiable fuzzy keyword search scheme based on the symbol-tree which not only supports the fuzzy keyword search, but also enjoys the verifiability of the searching result. Through rigorous security and efficiency analysis, we show that our proposed scheme is secure under the proposed model, while correctly and efficiently realizing the verifiable fuzzy keyword search. The extensive experimental results demonstrate the efficiency of the proposed scheme.

About Fully Homomorphic Encryption Improvement Techniques

2019 ◽  
Vol 10 (3) ◽  
pp. 1-20
Author(s):  
Ahmed El-Yahyaoui ◽  
Mohamed Daifr Ech-Cherif El Kettani
Keyword(s):  
Cloud Computing ◽  
Homomorphic Encryption ◽  
Quality Of Services ◽  
End User ◽  
Fully Homomorphic Encryption ◽  
Encrypted Data ◽  
Cloud Server ◽  
Encryption Schemes ◽  
Multiple Clients

Fully homomorphic encryption schemes (FHE) are a type of encryption algorithm dedicated to data security in cloud computing. It allows for performing computations over ciphertext. In addition to this characteristic, a verifiable FHE scheme has the capacity to allow an end user to verify the correctness of the computations done by a cloud server on his encrypted data. Since FHE schemes are known to be greedy in term of processing consumption and slow in terms of runtime execution, it is very useful to look for improvement techniques and tools to improve FHE performance. Parallelizing computations is among the best tools one can use for FHE improvement. Batching is a kind of parallelization of computations when applied to an FHE scheme, it gives it the capacity of encrypting and homomorphically processing a vector of plaintexts as a single ciphertext. This is used in the context of cloud computing to perform a known function on several ciphertexts for multiple clients at the same time. The advantage here is in optimizing resources on the cloud side and improving the quality of services provided by the cloud computing. In this article, the authors will present a detailed survey of different FHE improvement techniques in the literature and apply the batching technique to a promising verifiable FHE (VFHE) recently presented by the authors at the WINCOM17 conference.

Technique of Constructing Cloud Computing Platform Based on Ubuntu Enterprise Cloud

2012 ◽  
Vol 482-484 ◽  
pp. 713-716
Author(s):  
Ran Li ◽  
Jian Hua Fan ◽  
Xiao Bo Wang
Keyword(s):  
Cloud Computing ◽  
Service Provision ◽  
Private Cloud ◽  
Computing Platform ◽  
Cloud Computing Service ◽  
Cloud Server ◽  
Cloud Computing Platform ◽  
High Level ◽  
And Storage ◽  
Private Cloud Computing

Cloud computing is an effective approach for organizing computing resource and improving computing capability. In this paper, we designed and contstucted a private cloud computing platform based on ubuntu enterprise cloud. The cloud computing platform supports various clients dynamicly connet to cloud server and get cloud computing service via interface platform provided. Various kinds of virtual machine instance of different settings running on physical servers provide users computing and storage capability on demand. A series of high level functions guarantee computing service provision of platform.

scholarly journals EFFICIENT AND EXPRESSIVE KEYWORD SEARCH OVER ENCRYPTED DATA IN CLOUD

2020 ◽  
pp. 145-147
Author(s):  
Zeeshan Sharief
Keyword(s):  
Keyword Search ◽  
Bilinear Pairings ◽  
Searchable Encryption ◽  
Encrypted Data ◽  
Access Structures ◽  
Attribute Based Encryption ◽  
Cloud Server ◽  
Encryption Schemes ◽  
Boolean Formulas ◽  
Significant Performance

Searchable encryption allows a cloud server to conduct keyword search over encrypted data on behalf of the data users without learning the underlying plaintexts. However, most existing searchable encryption schemes only support single or conjunctive keyword search, while a few other schemes that can perform expressive keyword search are computationally inefficient since they are built from bilinear pairings over the composite-order groups. In this paper, we propose an expressive public-key searchable encryption scheme in the prime-order groups, which allows keyword search policies i.e., predicates, access structures to be expressed in conjunctive, disjunctive or any monotonic Boolean formulas and achieves significant performance improvement over existing schemes. We formally define its security and prove that it is selectively secure in the standard model. Also, we implement the proposed scheme using a rapid prototyping tool called Charm and conduct several experiments to evaluate it performance. The results demonstrate that our scheme is much more efficient than the ones built over the composite-order groups. INDEX TERMS - Searchable encryption, cloud computing, expressiveness, attribute-based encryption

scholarly journals Light Weight Cryptography based Medical Data and Image Encryption Scheme

Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 88-104
Author(s):  
M. Raja ◽  
Dr.S. Dhanasekaran ◽  
Dr.V. Vasudevan
Keyword(s):  
Data Privacy ◽  
Medical Information ◽  
Security Analysis ◽  
Encrypted Data ◽  
Attribute Based Encryption ◽  
Identity Based ◽  
Information Confidentiality ◽  
Processing And Storage ◽  
And Storage ◽  
Maintenance Problem

Many medical companies use cloud technology to collect, distribute and transmit medical records. Given the need for medical information, confidentiality is a key issue. In this study, we propose an encrypted scheme based on encrypted data for an electronic healthcare environment. We use hybrid Attribute based encryption and Triple DES encryption technique (ABETDES) scheme, including identity-based cryptography (IBC), to ensure data privacy through communication channels և to improve the reliability of cloud computing. There are also limited indicators of light processing and storage resources. This solves a serious maintenance problem and ensures that a private key is created where it is not blind. The introduction of a security option, a comprehensive security analysis to protect ciphertext, shows that our program is effective against many known attacks and compared to existing methods.

Retrieval of Encrypted Data Using Trapdoor Method in Cloud Computing

2019 ◽  
Vol 16 (8) ◽  
pp. 3237-3241 ◽  
Author(s):  
K. E. Gnanesh ◽  
T. Dheeraj Bhavan Narayana ◽  
M. D. Kamalesh
Keyword(s):  
Cloud Computing ◽  
The Other ◽  
Encrypted Data ◽  
Hard Drive ◽  
Security Challenges ◽  
Cloud Server ◽  
File Structure ◽  
Cloud Servers ◽  
Time Information

Cloud computing is a well-known innovation which licenses putting away and getting to information over Internet as opposed to putting away it on nearby machines’ hard drive. Cloud clients can empower to store their information on cloud with no nervousness about its exactness and dependability. Anyway putting away information on cloud forces certain security challenges. Redistributing information in cloud result may lose physical authority over their information. Putting away and recovering such a lot of information devours part of time as information in the cloud should be constantly put away in encoded arrangement while putting away and should be decoded while looking. There are various recommendations for executing questions over encoded information. This actualizes the customer to scramble information before re-appropriating it to the cloud in a database conspire. To stay away from this monstrous utilization of time, information looking rate can be expanded by straightforwardly seeking over scrambled information in the cloud. There are numerous techniques utilized for looking through the encoded information over cloud. In catchphrase based hunt plans overlook the semantic portrayal data of clients recovery, and can’t totally meet with clients seek goal. In this paper, propose ECSED, a novel semantic inquiry plot dependent on the idea chain of importance and the semantic connection between ideas in the scrambled datasets. ECSED utilizes two cloud servers. One cloud server is utilized to store the reCloud datasets and restore the positioned outcomes to information clients. The other cloud server is utilized to figure the comparability scores between the archives and the question and send the scores to the principal server. To additionally enhance the hunt proficiency, framework uses a tree-based file structure to sort out all the archive list vectors. At that point utilize the multi watchword positioned hunt over scrambled cloud information as our essential casing to propose two secure plans.

scholarly journals Dual Authentication-Based Encryption with a Delegation System to Protect Medical Data in Cloud Computing

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 171 ◽  
Author(s):  
Aymen Mudheher Badr ◽  
Yi Zhang ◽  
Hafiz Gulfam Ahmad Umar
Keyword(s):  
Cloud Computing ◽  
Data Access ◽  
Easy Access ◽  
Communication Overhead ◽  
Attribute Based Encryption ◽  
Data Owner ◽  
Cloud Server ◽  
User Data ◽  
Cloud Servers ◽  
The Cost

The increasing use of cloud computing, especially in commercial, government and healthcare institutions, started with the use of computerized clouds. Clouds store important data, which reduces the cost of management and ensures easy access. To protect this data, cryptographic methods are used to ensure confidentiality of the data, as well as to secure access to user data and increase trust in cloud technology. In our paper, we suggest a new scheme to support an attribute-based encryption system (ABE) that involves multiple parties such as data owners, data users, cloud servers and authority. A verified and authenticated decryption process for the cloud environment is the imperative feature of our proposed architecture. The data owner encrypts their data and sends it to the cloud. The cloud server performs partial decryption and the final decrypted data are shared for users as per their privileges. Thus, the data owner reduces complexity of productivity by delegating the decryption process to the cloud server. Analysis of the experimental results confirms that data access in the electronic cloud atmosphere is safer due to a controlled multiple-users-rights scheme. Our performance evaluation results show that the proposed model condensed the communication overhead and made Digital Imaging and Communications in Medicine (DICOM) more secure.

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