Biometric Inspired Homomorphic Encryption Algorithm for Secured Cloud Computing

2017 ◽  
pp. 13-21 ◽  
Author(s):  
Yogesh Bala ◽  
Amita Malik
Keyword(s):  
Cloud Computing ◽  
Homomorphic Encryption ◽  
Encryption Algorithm

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>

About Fully Homomorphic Encryption Improvement Techniques

2021 ◽  
pp. 1331-1351
Author(s):  
Ahmed El-Yahyaoui ◽  
Mohamed Daifr Ech-Cherif El Kettani
Keyword(s):  
Cloud Computing ◽  
Homomorphic Encryption ◽  
Encryption Algorithm ◽  
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.

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.

scholarly journals Improved cloud data transfer security using hybrid encryption algorithm

2020 ◽  
Vol 20 (1) ◽  
pp. 521
Author(s):  
Samar Zaineldeen ◽  
Abdelrahim Ate
Keyword(s):  
Cloud Computing ◽  
Homomorphic Encryption ◽  
Data Encryption ◽  
Remote Access ◽  
Security And Privacy ◽  
Encryption Algorithm ◽  
Memory Consumption ◽  
Hybrid Encryption ◽  
Encryption And Decryption ◽  
Encryption Algorithms

Cloud computing is a model of sophisticated computing which has a strong effect on data innovation. Cloud computing offers remote access to shared computerized assets in the stored cloud. Operationally cloud servers utilize Web services that give enormus advantage to the user in a variety of applications such as banking and finance, storage, social networking and e-mail. Cloud computing accomplishes many of the features interrelated to elasticity, ease of utility, efficiency and performance with low cost.  There are a number of potential concerns related to security and privacy since the requirement to protect cloud computing expanded, the encryption algorithms play the key part in data and information security systems, on side these algorithms consume a considerable quantity of computing resource.This paper,presenting  a new hybrid encryption algorithm emphasising  on AES and Enhanced Homomorphic Cryptosystem (EHC) as a hybrid encryption  to guarantee the secure exchange of data between the user and the cloud server, and compression study for two proficient homomorphic encryption techniques for encoding Data Encryption Standard (DES), Advance Encryption Stander (AES).With The proposed techniques an evaluation has been conducted for those encryption algorithms at diverse file sizes of data, to evaluate time taking for encryption and decryption, throughput, memory consumption and power consumption. The major finding was thats the proposed method has the extremity throughput; memory consumption and our proposed work took advantage of the least time taken in sec for encryption and decryption.

A Neural Network Application of Fully Homomorphic Encryption for Cloud Computing

2020 ◽  
Author(s):  
Megha Kolhekar ◽  
Ashish Pandey ◽  
Ayushi Raina ◽  
Rijin Thomas ◽  
Vaibhav Tiwari ◽  
...  
Keyword(s):  
Neural Network ◽  
Cloud Computing ◽  
Homomorphic Encryption ◽  
Fully Homomorphic Encryption ◽  
Network Application
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