An Effective Technology for Secured Data Auditing for Cloud Computing using Fuzzy Biometric Method

2021 ◽  
Author(s):  
Rokesh Kumar Yarava ◽  
Ponnuru Sowjanya ◽  
Sowmya Gudipati ◽  
G. Charles Babu ◽  
Srisailapu D Vara Prasad
Keyword(s):  
Cloud Computing ◽  
Effective Technology ◽  
Data Auditing ◽  
Secured Data

scholarly journals SECURE DEPENDABLE SELECTIVE STORAGE SERVICES AND SUPPORT FOR DYNAMIC DATA OPERATIONS IN CLOUD COMPUTING

2013 ◽  
pp. 35-40
Author(s):  
VINITHA S P ◽  
GURUPRASAD E
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Distributed Storage ◽  
Large Data ◽  
Cloud Service ◽  
Dynamic Data ◽  
Cloud Data ◽  
Data Auditing ◽  
Cloud Servers ◽  
Selective Storage

Cloud computing has been envisioned as the next generation architecture of IT enterprise. It moves the application software and databases to the centralized large data centers where management of data and services may not be fully trustworthy. This unique paradigm brings out many new security challenges like, maintaining correctness and integrity of data in cloud. Integrity of cloud data may be lost due to unauthorized access, modification or deletion of data. Lacking of availability of data may be due to the cloud service providers (CSP), in order to increase their margin of profit by reducing the cost, CSP may discard rarely accessed data without detecting in timely fashion. To overcome above issues, flexible distributed storage, token utilizing, signature creations used to ensure integrity of data, auditing mechanism used assists in maintaining the correctness of data and also locating, identifying of server where exactly the data has been corrupted and also dependability and availability of data achieved through distributed storage of data in cloud. Further in order to ensure authorized access to cloud data a admin module has been proposed in our previous conference paper, which prevents unauthorized users from accessing data and also selective storage scheme based on different parameters of cloud servers proposed in previous paper, in order to provide efficient storage of data in the cloud. In order to provide more efficiency in this paper dynamic data operations are supported such as updating, deletion and addition of data.

Advanced Data Storage Security System for Public Cloud

2020 ◽  
Vol 3 (2) ◽  
pp. 21-30
Author(s):  
Jitendra Kumar ◽  
Mohammed Ammar ◽  
Shah Abhay Kantilal ◽  
Vaishali R. Thakare
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Dynamic Capabilities ◽  
Data Transfer ◽  
Service Providers ◽  
Open Systems ◽  
Cloud Infrastructure ◽  
Great Loss ◽  
Security Issues ◽  
Data Auditing

Cloud is a collective term for a large number of developments and possibilities. Various data can be stored by the large amount of people onto the cloud storage facility without any bound of limitations as it provides tremendous space. Open systems like Android (Google Apps) still face many day- to-day security threats or attacks. With recent demand, cloud computing has raised security concerns for both service providers and consumers. Major issues like data transfer over wireless network across the globe have to be protected from unauthorized usage over the cloud as altered data can lead to great loss. In this regard, data auditing along with integrity, dynamic capabilities, and privacy preserving, and plays as an important role for preventing data from various cloud attacks which is considered in this work. The work also includes efficient auditor which plays a crucial role in securing the cloud environment. This paper presents a review on the cloud computing concepts and security issues inherent within the context of cloud computing and cloud infrastructure.

WITHDRAWN: Dynamic remote data auditing for securing big data storage in cloud computing

2017 ◽  
Vol 380 ◽  
pp. 101-116 ◽  
Author(s):  
Mehdi Sookhak ◽  
Abdullah Gani ◽  
Muhammad Khurram Khan ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Data Auditing ◽  
Big Data Storage ◽  
Remote Data

scholarly journals A Secured Data Prevention Method in Cloud Computing Process

2020 ◽  
Vol 8 (4S5) ◽  
pp. 111-115
Keyword(s):  
Cloud Computing ◽  
Configurable Computing ◽  
Cloud Data ◽  
Successful Model ◽  
Information Safety ◽  
Prevention Method ◽  
Using Data ◽  
Secured Data ◽  
And Control ◽  
Data Centres

This paper proposes protecting data by using data security and it is considered tointroducealteration, inspection, intrusion, and footage. Cloud computing may be a kind of online based computing that grants approaches of PC and various devices depending on resources and necessary information. It is an ideal that empowers entirely on the prevention and control of configurable computing resources. Now a days security is a major problem in developing cloud computing so efficient debugging of cloud computing is a successful model by security in cloud presentations. The present work is a part of cryptography in cloud computing for getting better information safety. Here we approach another security for cryptography to get secured information at cloud data centres.

Dynamic Public Data Auditing Schemes on Cloud: A Survey

2018 ◽  
Vol 8 (1) ◽  
pp. 76 ◽  
Author(s):  
R.Santha Maria Rani ◽  
Dr.Lata Ragha
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Service Providers ◽  
Hash Table ◽  
Cloud Service ◽  
Third Party ◽  
Cloud Data ◽  
Merkle Hash Tree ◽  
Public Data ◽  
Data Auditing

Cloud computing provides elastic computing and storage resource to users. Because of the characteristic the data is not under user’s control, data security in cloud computing is becoming one of the most concerns in using cloud computing resources. To improve data reliability and availability, Public data auditing schemes is used to verify the outsourced data storage without retrieving the whole data. However, users may not fully trust the cloud service providers (CSPs) because sometimes they might be dishonest. Therefore, to maintain the integrity of cloud data, many auditing schemes have been proposed. In this paper, analysis of various existing auditing schemes with their consequences is discussed.  Keywords: — Third Party Auditor (TPA), Cloud Service Provider (CSP), Merkle-Hash Tree (MHT), Provable data Possession (PDP), Dynamic Hash Table (DHT).

Sign in / Sign up

Export Citation Format

Share Document