scholarly journals Secured Data Storage in Cloud Using Homomorphic Encryption

2019 ◽  
Vol 9 (4) ◽  
pp. 1-11
Author(s):  
R Kanagavalli ◽  
S Vagdevi
Keyword(s):  
Data Storage ◽  
Homomorphic Encryption ◽  
Secured Data

scholarly journals Video Data Integrity Verification Method Based on Full Homomorphic Encryption in Cloud System

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Ruoshui Liu ◽  
Jianghui Liu ◽  
Jingjie Zhang ◽  
Moli Zhang
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Homomorphic Encryption ◽  
Data Integrity ◽  
Video Data ◽  
Verification Method ◽  
Whole Process ◽  
Integrity Checking ◽  
Verification Methods ◽  
Cloud Servers

Cloud computing is a new way of data storage, where users tend to upload video data to cloud servers without redundantly local copies. However, it keeps the data out of users' hands which would conventionally control and manage the data. Therefore, it becomes the key issue on how to ensure the integrity and reliability of the video data stored in the cloud for the provision of video streaming services to end users. This paper details the verification methods for the integrity of video data encrypted using the fully homomorphic crytosystems in the context of cloud computing. Specifically, we apply dynamic operation to video data stored in the cloud with the method of block tags, so that the integrity of the data can be successfully verified. The whole process is based on the analysis of present Remote Data Integrity Checking (RDIC) methods.

scholarly journals New Algorithms for Secure Outsourcing of Large-Scale Systems of Linear Equations

2020 ◽  
Vol 9 (5) ◽  
pp. 545-550
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Data Storage ◽  
Large Scale ◽  
Homomorphic Encryption ◽  
Linear Equations ◽  
Force Transmission ◽  
Large Scale Systems ◽  
Secure Outsourcing ◽  
Systems Of Linear Equations

Cloud computing is the on-request accessibility of computer system resources, specially data storage and computing power, without direct dynamic management by the client. In the simplest terms, cloud computing means storing and accessing data and programs over the Internet instead of your computer’s hard drive. Along the improvement of cloud computing, more and more applications are migrated into the cloud. A significant element of distributed computing is pay-more only as costs arise. Distributed computing gives strong computational capacity to the general public at diminished cost that empowers clients with least computational assets to redistribute their huge calculation outstanding burdens to the cloud, and monetarily appreciate the monstrous computational force, transmission capacity, stockpiling, and even reasonable programming that can be partaken in a compensation for each utilization way Tremendous bit of leeway is the essential objective that forestalls the wide scope of registering model for clients when their secret information are expended during the figuring procedure. Critical thinking is a system to arrive at the pragmatic objective of specific instruments that tackles the issues as well as shield from pernicious practices.. In this paper, we examine secure outsourcing for large-scale systems of linear equations, which are the most popular problems in various engineering disciplines. Linear programming is an operation research technique formulates private data by the customer for LP problem as a set of matrices and vectors, to develop a set of efficient privacypreserving problem transformation techniques, which allow customers to transform original LP problem into some arbitrary one while protecting sensitive input/output information. Identify that LP problem solving in Cloud component is efficient extra cost on cloud server. In this paper we are utilizing Homomorphic encryption system to increase the performance and time efficiency

scholarly journals Sharing Privacy Protected and Statistically Sound Clinical Research Data Using Outsourced Data Storage

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Geontae Noh ◽  
Ji Young Chun ◽  
Ik Rae Jeong
Keyword(s):  
Clinical Research ◽  
Data Storage ◽  
Clinical Data ◽  
Private Information ◽  
Homomorphic Encryption ◽  
Scientific Progress ◽  
Research Data ◽  
Computing Services ◽  
Public Keys ◽  
Clinical Research Data

It is critical to scientific progress to share clinical research data stored in outsourced generally available cloud computing services. Researchers are able to obtain valuable information that they would not otherwise be able to access; however, privacy concerns arise when sharing clinical data in these outsourced publicly available data storage services. HIPAA requires researchers to deidentify private information when disclosing clinical data for research purposes and describes two available methods for doing so. Unfortunately, both techniques degrade statistical accuracy. Therefore, the need to protect privacy presents a significant problem for data sharing between hospitals and researchers. In this paper, we propose a controlled secure aggregation protocol to secure both privacy and accuracy when researchers outsource their clinical research data for sharing. Since clinical data must remain private beyond a patient’s lifetime, we take advantage of lattice-based homomorphic encryption to guarantee long-term security against quantum computing attacks. Using lattice-based homomorphic encryption, we design an aggregation protocol that aggregates outsourced ciphertexts under distinct public keys. It enables researchers to get aggregated results from outsourced ciphertexts of distinct researchers. To the best of our knowledge, our protocol is the first aggregation protocol which can aggregate ciphertexts which are encrypted with distinct public keys.

Homomorphic Encryption Based Data Storage and Query Algorithm

2013 ◽  
Vol 846-847 ◽  
pp. 1582-1589
Author(s):  
Chun Yun Di ◽  
Chen Lei Cao ◽  
Ru Zhang ◽  
Jian Yi Liu
Keyword(s):  
Data Storage ◽  
Homomorphic Encryption ◽  
Query Time ◽  
Query Result ◽  
Query Algorithm

To solve the problems of ciphertext storage and query on cloud, this paper proposes a ciphertext query algorithm according to the multiplication homomorphic encryption characteristic of RSA. Moreover, this paper sorts and displays the query result of the ciphertext efficiently by the ciphertext similarity, which is the combination of inclined angle's cosine of vector, vector's mapping length and words' weight. Finally, the ciphertext query time is investigated in a lab environment. The ciphertext query time is considered as acceptable to users.

An Enhanced Security Framework for Secured Data Storage and Communications in Cloud Using ECC, Access Control and LDSA

2020 ◽  
Vol 115 (2) ◽  
pp. 1107-1135 ◽  
Author(s):  
Balasubramanian Prabhu Kavin ◽  
Sannasi Ganapathy ◽  
U. Kanimozhi ◽  
Arputharaj Kannan
Keyword(s):  
Access Control ◽  
Data Storage ◽  
Security Framework ◽  
Secured Data
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