A Blockchain‐Based Flexible Data Auditing Scheme for the Cloud Service

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.

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A Privacy-Preserving Outsourcing Data Storage Scheme with Fragile Digital Watermarking-Based Data Auditing

Journal of Electrical and Computer Engineering ◽

10.1155/2016/3219042 ◽

2016 ◽

Vol 2016 ◽

pp. 1-7 ◽

Cited By ~ 3

Author(s):

Xinyue Cao ◽

Zhangjie Fu ◽

Xingming Sun

Keyword(s):

Data Storage ◽

Digital Watermarking ◽

Service Providers ◽

Logistic Map ◽

Cloud Service ◽

Privacy Preserving ◽

Good Effect ◽

Operation Speed ◽

Storage Scheme ◽

Data Auditing

Cloud storage has been recognized as the popular solution to solve the problems of the rising storage costs of IT enterprises for users. However, outsourcing data to the cloud service providers (CSPs) may leak some sensitive privacy information, as the data is out of user’s control. So how to ensure the integrity and privacy of outsourced data has become a big challenge. Encryption and data auditing provide a solution toward the challenge. In this paper, we propose a privacy-preserving and auditing-supporting outsourcing data storage scheme by using encryption and digital watermarking. Logistic map-based chaotic cryptography algorithm is used to preserve the privacy of outsourcing data, which has a fast operation speed and a good effect of encryption. Local histogram shifting digital watermark algorithm is used to protect the data integrity which has high payload and makes the original image restored losslessly if the data is verified to be integrated. Experiments show that our scheme is secure and feasible.

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Dynamic Public Data Auditing Schemes on Cloud: A Survey

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v8i1.518 ◽

2018 ◽

Vol 8 (1) ◽

pp. 76 ◽

Cited By ~ 1

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).

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Data Storage Security Service in Cloud Computing

Cloud Security ◽

10.4018/978-1-5225-8176-5.ch058 ◽

2019 ◽

pp. 1124-1156

Author(s):

Alshaimaa Abo-alian ◽

Nagwa. L. Badr ◽

Mohamed F. Tolba

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Cloud Service ◽

Cloud Environment ◽

New Paradigm ◽

Storage Security ◽

Security Issues ◽

Computing Paradigm ◽

Data Auditing ◽

Privacy And Confidentiality

Cloud computing is an emerging computing paradigm that is rapidly gaining attention as an alternative to other traditional hosted application models. The cloud environment provides on-demand, elastic and scalable services, moreover, it can provide these services at lower costs. However, this new paradigm poses new security issues and threats because cloud service providers are not in the same trust domain of cloud customers. Furthermore, data owners cannot control the underlying cloud environment. Therefore, new security practices are required to guarantee the availability, integrity, privacy and confidentiality of the outsourced data. This paper highlights the main security challenges of the cloud storage service and introduces some solutions to address those challenges. The proposed solutions present a way to protect the data integrity, privacy and confidentiality by integrating data auditing and access control methods.

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A Continuous Sampling Method for Batch Data Auditing in Cloud Storage

International Journal of Information Systems in the Service Sector ◽

10.4018/ijisss.2021040101 ◽

2021 ◽

Vol 13 (2) ◽

pp. 1-12

Author(s):

Esther Daniel ◽

Durga S. ◽

Vijila M.

Keyword(s):

Cloud Storage ◽

Service Providers ◽

Low Cost ◽

Cloud Service ◽

Probability Of Detection ◽

Easy Access ◽

Time Data ◽

Continuous Sampling ◽

Data Auditing ◽

Online Storage

Cloud storage offers online storage services to back up data and enables easy access to real-time data at any time and on the fly. The primary issue of security arises as the data is outsourced to remote servers that cause data loss and modifications to occur. Data corruptions or misbehaviours in the cloud service providers (CSP) have to be detected at low cost and promptly. The data outsourced to CSP by the data owners might suffer from cloud service provider misbehaviour, in particular unauthorized deletion of data by CSP to save storage space towards attracting potential clients. Adapting continuous sampling of random blocks as batches reduce the computation workload on the servers, thus detecting the modifications or corruptions if any without time delays. The corrupted data blocks are located with continuous sampling methods and the probability of detection is high.

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Improved Data Security for Storing and Authenticating in Cloud using ERSA Algorithm

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.l1206.10812s19 ◽

2019 ◽

Vol 8 (12S) ◽

pp. 863-867

Keyword(s):

Data Security ◽

Service Providers ◽

Cloud Service ◽

Third Party ◽

Security And Privacy ◽

Security Measures ◽

Huge Amount ◽

The Third ◽

Cloud Service Providers ◽

Data Auditing

Present days, huge amount of data stored with cloud service providers. The Third- party auditors (TPAs), with support of cryptography, are frequently utilized to prove this data. Auditing will be capability for cloud clients to prove the existence &functioning of their supplier's security measures. Authentication is done by using username and password. The important point in authentication is to protect data from the access of unauthorized people. The proposed scheme is Enhanced RSA (ERSA) Algorithm. This paper presents solution to enhance the security and privacy to stored data in cloud. Result demonstrates that this scheme can progress the security of data that stored in cloud

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Data Storage Security Service in Cloud Computing

Handbook of Research on Machine Learning Innovations and Trends - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-5225-2229-4.ch004 ◽

2017 ◽

pp. 61-93

Author(s):

Alshaimaa Abo-alian ◽

Nagwa. L. Badr ◽

Mohamed F. Tolba

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Cloud Service ◽

Cloud Environment ◽

New Paradigm ◽

Storage Security ◽

Security Issues ◽

Computing Paradigm ◽

Data Auditing ◽

Privacy And Confidentiality

Cloud computing is an emerging computing paradigm that is rapidly gaining attention as an alternative to other traditional hosted application models. The cloud environment provides on-demand, elastic and scalable services, moreover, it can provide these services at lower costs. However, this new paradigm poses new security issues and threats because cloud service providers are not in the same trust domain of cloud customers. Furthermore, data owners cannot control the underlying cloud environment. Therefore, new security practices are required to guarantee the availability, integrity, privacy and confidentiality of the outsourced data. This paper highlights the main security challenges of the cloud storage service and introduces some solutions to address those challenges. The proposed solutions present a way to protect the data integrity, privacy and confidentiality by integrating data auditing and access control methods.

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Multimedia system and database simulation based on internet of things and cloud service platform

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189253 ◽

2020 ◽

pp. 1-12

Author(s):

Zhang Caiqian ◽

Zhang Xincheng

Keyword(s):

Internet Of Things ◽

Cloud Service ◽

Multimedia System ◽

The Internet ◽

Multimedia Database ◽

Cloud Platform ◽

Service Platform ◽

Device Management ◽

Cloud Service Platform ◽

The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

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