An Efficient Multi-Mode Three Phase Biometric Data Security Framework For Cloud Computing-Based Servers

2020 ◽  
Vol 68 (9) ◽  
pp. 10-17
Author(s):  
Ayesha Tarannum ◽  
Md. Zia Ur Rahman ◽  
Srinivasulu T
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Security Framework ◽  
Biometric Data ◽  
Three Phase ◽  
Multi Mode

scholarly journals A Data Security Framework for Mobile Cloud Computing

IJARCCE ◽  
2015 ◽  
pp. 254-257 ◽  
Author(s):  
Chandni Patel ◽  
SameerSingh Chauhan ◽  
Bhavesh Patel
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Security Framework

scholarly journals Data Security in Cloud Computing using Three Way Mechanism

2020 ◽  
Vol 9 (4) ◽  
pp. 1312-1316
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Distributed Storage ◽  
Information Protection ◽  
Security Framework ◽  
Front Line ◽  
Data Confidentiality ◽  
Distributive Computing ◽  
The Given ◽  
Information Authentication

Cloud computing is the front line innovation of the decennium. It empowers users to store enormous collection of information in distributed storage and make use of it as and when they please from any corner of the world, with any sorts of hardware. As this distributive computing is reliant on the internet facility, issues of security like privacy, security of information, authentication and data confidentiality is experienced. So as to dispose of these issues, an assortment of encryption calculations and systems are utilized. Numerous specialists pick what they discovered best and made use of these in different blends to give the security to the information in cloud. Going through a comparable circumstance, we have decided to utilize a mix of validation system and key trade calculation mixed with an encryption calculation. The blend is alluded to as a "Three way mechanism" since it guarantees all three of confirmation, information protection and inspection insurance policies. In this paper, we have proposed to utilize two-factor authentication mixed in (AES) Advanced Encryption Standard encryption calculation that secures the secrecy of information put away within cloud. Without user’s private key that is special to the user, even if the key that is moving is stolen or hijacked the feature of key exchange renders it pointless and is of no use. The given proposed engineering of three way mechanism making it tedious for unauthorized personnel to break this security framework, therefore securing information put away in cloud.

scholarly journals Virutalized Cloud Environment : A Survey

2013 ◽  
Vol 8 (1) ◽  
pp. 730-733
Author(s):  
Er.Gursimran Singh ◽  
Dr.Gurjit Singh Bhathal
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Virtual Machines ◽  
System Security ◽  
Cloud Environment ◽  
Computing Technology ◽  
Security Framework ◽  
Fast Growing ◽  
Cloud Environments ◽  
Virtual System

Cloud computing is one of today's most exciting technology because of its cost-reducing, flexibility, and scalability. With the fast growing of cloud computing technology, Data security becomes more and more important in it. In evaluating whether to move to cloud computing, it is important to compare benefits and also risks of it. Thus, security and other existed issues in the cloud cause cloud clients need more time to think about moving to cloud environments. But Security-related topics is one of the most arguable issues in the cloud computing which caused several enterprises looks to this technology uncertainly and move toward it warily[2]. A Virtualization Security framework is presented which contains two parts: virtual system security and virtualization security management.[1] The paper is devoted to the mechanism of monitoring of virtual machines aimed at guaranteeing increased security to cloud resources. Furthermore, the requirements for this mechanism are enumerated.[3]

Data Security and Protection in Cloud Computing

2012 ◽  
Vol 1 (2) ◽  
pp. 31-34
Author(s):  
Shameena Begum ◽  
◽  
V.Ratna Vasuki ◽  
K.V.V.Srinivas K.V.V.Srinivas
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Security And Protection

Big Data Security Challenges and Solution of Distributed Computing in Hadoop Environment: A Security Framework

2020 ◽  
Vol 13 (4) ◽  
pp. 790-797
Author(s):  
Gurjit Singh Bhathal ◽  
Amardeep Singh Dhiman
Keyword(s):  
Big Data ◽  
Data Security ◽  
Data Sets ◽  
Security Framework ◽  
Hadoop Distributed File System ◽  
Current Scenario ◽  
Hadoop Cluster ◽  
Ciphertext Policy ◽  
In Transit ◽  
Hadoop Framework

Background: In current scenario of internet, large amounts of data are generated and processed. Hadoop framework is widely used to store and process big data in a highly distributed manner. It is argued that Hadoop Framework is not mature enough to deal with the current cyberattacks on the data. Objective: The main objective of the proposed work is to provide a complete security approach comprising of authorisation and authentication for the user and the Hadoop cluster nodes and to secure the data at rest as well as in transit. Methods: The proposed algorithm uses Kerberos network authentication protocol for authorisation and authentication and to validate the users and the cluster nodes. The Ciphertext-Policy Attribute- Based Encryption (CP-ABE) is used for data at rest and data in transit. User encrypts the file with their own set of attributes and stores on Hadoop Distributed File System. Only intended users can decrypt that file with matching parameters. Results: The proposed algorithm was implemented with data sets of different sizes. The data was processed with and without encryption. The results show little difference in processing time. The performance was affected in range of 0.8% to 3.1%, which includes impact of other factors also, like system configuration, the number of parallel jobs running and virtual environment. Conclusion: The solutions available for handling the big data security problems faced in Hadoop framework are inefficient or incomplete. A complete security framework is proposed for Hadoop Environment. The solution is experimentally proven to have little effect on the performance of the system for datasets of different sizes.

Comparative Study of Cryptography for Cloud Computing for Data Security

2019 ◽  
Vol 13 ◽  
Author(s):  
Priya Mathur ◽  
Amit Kumar Gupta ◽  
Prateek Vashishtha
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Elliptic Curve Cryptography ◽  
Plain Text ◽  
Hybrid Encryption ◽  
Cipher Text ◽  
Business Applications ◽  
Computing Grid ◽  
Cloud Servers ◽  
Client Side

Cloud computing is an emerging technique by which anyone can access the applications as utilities over the internet. Cloud computing is the technology which comprises of all the characteristics of the technologies like distributed computing, grid computing, and ubiquitous computing. Cloud computing allows everyone to create, to configure as well as to customize the business applications online. Cryptography is the technique which is use to convert the plain text into cipher text using various encryption techniques. The art and science used to introduce the secrecy in the information security in order to secure the messages is defined as cryptography. In this paper we are going to review few latest Cryptographic algorithms which are used to enhance the security of the data on the cloud servers. We are comparing Short Range Natural Number Modified RSA (SRNN), Elliptic Curve Cryptography Algorithm, Client Side Encryption Technique and Hybrid Encryption Technique to secure the data in cloud.

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