scholarly journals SecureDBaaS Model for Accessing Encrypted Cloud Databases

2015 ◽  
Vol 16 (2) ◽  
pp. 333
Author(s):  
Palle Jagadeeswaraiah ◽  
M.R. Pavan Kumar
Keyword(s):  
Cloud Computing ◽  
Homomorphic Encryption ◽  
Encryption Algorithm ◽  
Cloud Provider ◽  
Concurrent Execution ◽  
Cloud Database ◽  
Cloud Databases ◽  
Main Thing ◽  
Cloud User ◽  
The Web

<p>Cloud computing has recently emerged being a compelling paradigm that pertains to managing and delivering services over the web. The particular prevalent problem connected with cloud is confidentiality, security, as well as reliability etc., in which how the cloud provider assures. To recognize this, a novel architecture is usually introduced that will integrates cloud database services and as well executing concurrent operations on encrypted information. Also a new homomorphic encryption algorithm will likely be incorporated to offer confidentiality as well as concurrent execution of various SQL operations. This will be the first option supporting quite a few distributed clienteles to access encrypted cloud databases. One of main thing is that it eliminates advanced proxies in between cloud user and provider.The performance on the architecture is usually calculated by means of theoretical and practical results which are subjected to TPC-C benchmark standard tools for a number of clients as well as network latencies.</p>

scholarly journals Fully Homomorphic Cipher Based on Finite Algebraic Structures

2019 ◽  
pp. 97-103
Author(s):  
Y. Ts. Alaverdyan ◽  
E. G. Satimova
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Homomorphic Encryption ◽  
Encryption Algorithm ◽  
Cloud Provider ◽  
Algebraic Structures ◽  
Encrypted Data ◽  
Cloud Data ◽  
Cryptographic Algorithm ◽  
Cloud Data Processing

A way to increase the robustness of a cryptographic algorithm toward unauthorized inversion can be obtained through application of non-commutative or non-associative algebraic structures. In this regard, data security became a great issue in adaptation of cloud computing over Internet. While in the traditional encryption methods, security to data in storage state and transmission state is provided, in cloud data processing state, decryption of data is assumed, data being available to cloud provider. In this paper, we propose a special homomorphism between self-distributed and non-associative algebraic structures, which can stand as a premise to construct a homomorphic encryption algorithm aimed at the cloud data security in processing state. Homomorphic encryption so developed will allow users to operate encrypted data directly bypassing the decryption.

Cloud Database Systems

2017 ◽  
pp. 225-245
Author(s):  
Balamurugan Balusamy ◽  
Nadhiya S ◽  
Sumalatha N ◽  
Malathi Velu
Keyword(s):  
Cloud Computing ◽  
Capacity Planning ◽  
Relational Databases ◽  
Database Systems ◽  
Business Organizations ◽  
Shared Resources ◽  
Computing Platform ◽  
Business Applications ◽  
Cloud Database ◽  
Cloud Databases

In earlier days, people ran their applications or programs on a physical computer or a server. Cloud computing is a kind of Internet-based computing, where shared resources, data and information are provided to computers and other devices on-demand. Many business organizations were moving towards cloud because it provides flexibility, disaster recovery, security, collaboration etc., Relational Databases ruled the IT Industries for almost 40 years. Limitations of relational database lead to the rise of cloud database. A cloud database is a database that typically runs on a cloud computing platform. Cloud databases are on the rise as more and more businesses look to capitalize on the advantages of cloud computing to power their business applications. Cloud databases are mainly used in data mining, data warehousing and business intelligence. This chapter deals with different types of cloud database and how database influence capacity planning.

Towards Privacy-Preserving Medical Cloud Computing Using Homomorphic Encryption

2020 ◽  
pp. 93-125
Author(s):  
Ovunc Kocabas ◽  
Tolga Soyata
Keyword(s):  
Cloud Computing ◽  
Health Information ◽  
Health Monitoring ◽  
Homomorphic Encryption ◽  
Cloud Provider ◽  
Healthcare Organizations ◽  
Privacy Concerns ◽  
Monitoring Tools ◽  
Patient Health ◽  
Medical Cloud

Personal health monitoring tools, such as commercially available wireless ECG patches, can significantly reduce healthcare costs by allowing patient monitoring outside the healthcare organizations. These tools transmit the acquired medical data into the cloud, which could provide an invaluable diagnosis tool for healthcare professionals. Despite the potential of such systems to revolutionize the medical field, the adoption of medical cloud computing in general has been slow due to the strict privacy regulations on patient health information. We present a novel medical cloud computing approach that eliminates privacy concerns associated with the cloud provider. Our approach capitalizes on Fully Homomorphic Encryption (FHE), which enables computations on private health information without actually observing the underlying data. For a feasibility study, we present a working implementation of a long-term cardiac health monitoring application using a well-established open source FHE library.

Study on the Security of the Databases in Cloud Computing Environment

2013 ◽  
Vol 443 ◽  
pp. 473-476
Author(s):  
Aori Gele
Keyword(s):  
Cloud Computing ◽  
Information Technologies ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Cloud Database ◽  
Cloud Databases ◽  
Modern Information

In the modern information technologies, cloud computing is the most popular. However, the security problems in the application of the cloud databases should be never ignored. In this paper, the characteristics of cloud computing database are first introduced, and then the potential security problems as well as solutions in the application of cloud database are analyzed.

scholarly journals Information Security in Cloud Computing utilizing Fully Homomorphic Encryption Techniques

2019 ◽  
Vol 8 (6S2) ◽  
pp. 679-683
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Distributed Computing ◽  
Homomorphic Encryption ◽  
Fully Homomorphic Encryption ◽  
Encryption Method ◽  
The Web

Flowed enlisting gives a course to the business to deal with the figuring assets on the web. The term has made over late years, and can be utilized to outline the utilization of a pariah for your capacity and figuring needs.The mechanical improvement of distributed computing has helped the business to develop as well as the wellbeing of information has turned into a noteworthy issue. Numerous encryption procedures are utilized as a part of information security in cloud. They are especially powerful when the information is away state and in transmission state. Be that as it may, in handling state the information must be unscrambled so that the operations can be performed. Once the information is unscrambled it is accessible to the cloud supplier henceforth these customary encryption systems are insufficient to secure the information. The information will be protected if the operations are performed in the decoded information. This can be accomplished if the information is encoded utilizing homomorphic encryption strategies. This paper examines about the homomorphic encryption method, its disadvantages and future improvements. [19],[20],[21]

Towards Privacy-Preserving Medical Cloud Computing Using Homomorphic Encryption

2015 ◽  
pp. 213-246 ◽  
Author(s):  
Ovunc Kocabas ◽  
Tolga Soyata
Keyword(s):  
Cloud Computing ◽  
Health Information ◽  
Health Monitoring ◽  
Homomorphic Encryption ◽  
Cloud Provider ◽  
Healthcare Organizations ◽  
Privacy Concerns ◽  
Monitoring Tools ◽  
Patient Health ◽  
Medical Cloud

Personal health monitoring tools, such as commercially available wireless ECG patches, can significantly reduce healthcare costs by allowing patient monitoring outside the healthcare organizations. These tools transmit the acquired medical data into the cloud, which could provide an invaluable diagnosis tool for healthcare professionals. Despite the potential of such systems to revolutionize the medical field, the adoption of medical cloud computing in general has been slow due to the strict privacy regulations on patient health information. We present a novel medical cloud computing approach that eliminates privacy concerns associated with the cloud provider. Our approach capitalizes on Fully Homomorphic Encryption (FHE), which enables computations on private health information without actually observing the underlying data. For a feasibility study, we present a working implementation of a long-term cardiac health monitoring application using a well-established open source FHE library.

scholarly journals Ensuring Efficient Data Storage using Fully Mature Homomorphic Encryption Technique in the Cloud Environment

2019 ◽  
Vol 8 (2) ◽  
pp. 5333-5342
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Homomorphic Encryption ◽  
Cloud Provider ◽  
Cloud Environment ◽  
Remote Site ◽  
Encrypted Data ◽  
Cloud Server ◽  
Efficient Data ◽  
Security Gap

In cloud computing, user database is stored at remote site instead of user computer’s hard disk where the connection between remote site and user computer is provided by internet connection. As cloud computing essentially places data outside the custody of owner of data, it inexorably hosts security disputes. The distance among the physical and the client location of data generates a barrier as the data can be accessed by an unauthorized party and this would influence the solitude of client’s data. The utilization of traditional encryption systems to encrypt the data prior to transmitting to the cloud provider has been most extensively utilized technique to link this security gap. Be that as it may, the customer will require offering the private key to the server to unscramble the information in front of playing out the figuring’s fundamental. Homomorphic encryption techniques permits computations on encrypted data devoid of decryption. This paper deals with the utilization of Fully Mature Homomorphic Encryption (FMHE) to encode the client’s data on cloud server and as well it facilitates to perform required computations on the encrypted data

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