A Proposed Framework for Secure Data Storage in a Big Data Environment Based on Blockchain and Mobile Agent

The sum of Big Data generated from different sources is increasing significantly with each passing day to extent that it is becoming challenging for traditional storage methods to store this massive amount of data. For this reason, most organizations have resolved to use third-party cloud storage to store data. Cloud storage has advanced in recent times, but it still faces numerous challenges with regard to security and privacy. This paper discusses Big Data security and privacy challenges and the minimum requirements that must be provided by future solutions. The main objective of this paper is to propose a new technical framework to control and manage Big Data security and privacy risks. A design science research methodology is used to carry out this project. The proposed framework takes advantage of Blockchain technology to provide secure storage of Big Data by managing its metadata and policies and eliminating external parties to maintain data security and privacy. Additionally, it uses mobile agent technology to take advantage of the benefits related to system performance in general. We present a prototype implementation for our proposed framework using the Ethereum Blockchain in a real data storage scenario. The empirical results and framework evaluation show that our proposed framework provides an effective solution for secure data storage in a Big Data environment.

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Blockchain-based Secure Big Data Storage on Cloud

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d4744.119420 ◽

2020 ◽

Vol 9 (4) ◽

pp. 37-45

Keyword(s):

Big Data ◽

Comparative Analysis ◽

Data Storage ◽

Data Security ◽

Cloud Storage ◽

Information Technologies ◽

Mobile Cloud ◽

Blockchain Technology ◽

Data Authentication ◽

Big Data Storage

In the cryptocurrency era, Blockchain is one of the expeditiously growing information technologies that help in providing security to the data. Data tampering and authentication problems generally occur in centralized servers while sharing and storing the data. Blockchain provides the platform for big data and cloud storage in enhancing the security by evading from pernicious users. In this paper, we have discussed the exhaustive description of blockchain and its need, features and applications. Analysis of blockchain is done for different domains such as big data, cloud, internet of things and mobile cloud where the differences V’s are compared with big data and blockchain. SWOT (Strength Weakness Opportunities Threats) analysis is performed to address the merits and limitations in blockchain technology. The survey in aspects of data security, data storage, data sharing and data authentication through blockchain technology is done and the challenges are discussed to overcome the problem that leads in big data and cloud storage. The detailed comparative analysis proves that the blockchain technology overcomes the problems in big data storage and data security in cloud.

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A Review of Security Challenges in Cloud Storage of Big Data

Cloud Security ◽

10.4018/978-1-5225-8176-5.ch073 ◽

2019 ◽

pp. 1440-1459

Author(s):

Sara Usmani ◽

Faiza Rehman ◽

Sajid Umair ◽

Safdar Abbas Khan

Keyword(s):

Information Technology ◽

Cloud Computing ◽

Big Data ◽

Data Storage ◽

Cloud Storage ◽

Personal Data ◽

Security And Privacy ◽

Privacy And Security ◽

Security Issues ◽

The People

The novel advances in the field of Information Technology presented the people pleasure, luxuries and ease. One of the latest expansions in the Information Technology (IT) industry is Cloud Computing, a technology that uses the internet for storage and access of data. It is also known as on-demand computing. The end user can access personal data and applications anywhere any time with a device having internet. Cloud Computing has gained an enormous attention but it results in the issues of data security and privacy as the data is scattered on different machines in different places across the globe which is a serious threat to the technology. It has many advantages like flexibility, efficiency and scalability but many of the companies are hesitant to invest in it due to privacy concerns. In this chapter, the objective is to review the privacy and security issues in cloud storage of Big Data and to enhance the security in cloud environment so that end users can enjoy a trustworthy and reliable data storage and access.

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Privacy Preservation of a Group and Secure Data Storage in Cloud Environment

Cybernetics and Information Technologies ◽

10.1515/cait-2015-0005 ◽

2015 ◽

Vol 15 (1) ◽

pp. 46-54

Author(s):

K. Govinda ◽

E. Sathiyamoorthy

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Data Security ◽

Privacy Preservation ◽

Personal Information ◽

Cloud Service ◽

Cloud Services ◽

Security And Privacy ◽

Cloud Environment ◽

Secure Data

Abstract Cloud computing has become a victorious archetype for data storage, as well as for computation purposes. Greater than ever it concerns user’s privacy, so that data security in a cloud is increasing day by day. Ensuring security and privacy for data organization and query dispensation in the cloud is important for superior and extended uses of cloud based technologies. Cloud users can barely have the full benefits of cloud computing if we can ensure the real user’s privacy and his data security concerns this approach along with storing thin-skinned personal information in databases and software spread around the cloud. There are numerous service suppliers in WWW (World Wide Web), who can supply each service as a cloud. These cloud services will switch over data with a supplementary cloud, so that when the data is exchanged between the clouds, the problem of confidentiality revelation exists. So the privacy revelation problem concerning a person or a corporation is unavoidably open when releasing or data distributing in the cloud service. Confidentiality is a significant issue in any cloud computing environment. In this paper we propose and implement a mechanism to maintain privacy and secure data storage for group members or a community in cloud environment.

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A Comprehensive Overview of Privacy and Data Security for Cloud Storage

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset21852 ◽

2021 ◽

pp. 113-152

Author(s):

Dr. Nikhat Akhtar ◽

Dr. Bedine Kerim ◽

Dr. Yusuf Perwej ◽

Dr. Anurag Tiwari ◽

Dr. Sheeba Praveen

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Data Security ◽

Cloud Storage ◽

Low Cost ◽

Network Connectivity ◽

Data Encryption ◽

Security And Privacy ◽

Comprehensive Overview ◽

Resource Pooling

People used to carry their documents about on CDs only a few years ago. Many people have recently turned to memory sticks. Cloud computing, in this case, refers to the capacity to access and edit data stored on remote servers from any Internet-connected platform. Cloud computing is a self-service Internet infrastructure that allows people to access computing resources at any location worldwide. The world has altered as a result of cloud computing. Cloud computing can be thought of as a new computing typology that can provide on-demand services at a low cost. By increasing the capacity and flexibility of data storage and providing scalable compute and processing power that fits the dynamic data requirements, cloud computing has aided the advancement of IT to higher heights. In the field of information technology, privacy and data security have long been a serious concern. It becomes more severe in the cloud computing environment because data is stored in multiple locations, often across the globe. Users' primary challenges regarding the cloud technology revolve around data security and privacy. We conduct a thorough assessment of the literature on data security and privacy issues, data encryption technologies, and related countermeasures in cloud storage systems in this study. Ubiquitous network connectivity, location-independent resource pooling, quick resource flexibility, usage-based pricing, and risk transference are all features of cloud computing.

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A Review of Security Challenges in Cloud Storage of Big Data

Advances in Data Mining and Database Management - Handbook of Research on Big Data Storage and Visualization Techniques ◽

10.4018/978-1-5225-3142-5.ch007 ◽

2018 ◽

pp. 175-195

Author(s):

Sara Usmani ◽

Faiza Rehman ◽

Sajid Umair ◽

Safdar Abbas Khan

Keyword(s):

Information Technology ◽

Cloud Computing ◽

Big Data ◽

Data Storage ◽

Cloud Storage ◽

Personal Data ◽

Security And Privacy ◽

Privacy And Security ◽

Security Issues ◽

The People

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A New Approach for Security in Cloud Data Storage for IOT Applications Using Hybrid Cryptography Technique

10.3233/apc210138 ◽

2021 ◽

Author(s):

Pavithra R ◽

Prathiksha S ◽

Shruthi SG ◽

Bhanumathi M

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Cloud Storage ◽

Third Party ◽

Advanced Technology ◽

Security And Privacy ◽

Security Threat ◽

Cloud Data ◽

Plain Text ◽

Cloud Data Storage

The most demanded advanced technology throughout the world is cloud computing. It is one of the most significant topics whose application is being researched in today’s time. Cloud storage is one of the eminent services offered in cloud computing. Data is stored on multiple third-party servers, rather than on the dedicated server used in traditional networked data storage in the cloud storage. All data stored on multiple third-party servers is not bothered by the user and no one knows where exactly data saved. It is minded by the cloud storage provider that claims that they can protect the data but no one believes them. Data stored over the cloud and flowing through the network in the plain text format is a security threat. This paper proposes a method that allows users to store and access the data securely from cloud storage. This method ensures the security and privacy of data stored on the cloud. A further advantage of this method is we will be using encryption techniques to encrypt.

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Issues in security and privacy of big data

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

10.23956/ijarcsse.v7i12.482 ◽

2018 ◽

Vol 7 (12) ◽

pp. 1

Author(s):

Shaveta Bhatia

Keyword(s):

Cloud Computing ◽

Big Data ◽

Approximate Method ◽

Biomedical Research ◽

Cyber Security ◽

Data Science ◽

Third Party ◽

Security And Privacy ◽

Security Threats ◽

The Third

The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity. It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

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A New User-controlled and Efficient Encrypted Data Sharing Model in Cloud Storage

Recent Patents on Engineering ◽

10.2174/1872212113666190215143537 ◽

2019 ◽

Vol 13 (4) ◽

pp. 356-363

Author(s):

Yuezhong Wu ◽

Wei Chen ◽

Shuhong Chen ◽

Guojun Wang ◽

Changyun Li

Keyword(s):

Data Sharing ◽

Data Security ◽

Cloud Storage ◽

Screening Program ◽

Original Data ◽

Third Party ◽

Active System ◽

Encrypted Data ◽

Active User ◽

User Data

Background: Cloud storage is generally used to provide on-demand services with sufficient scalability in an efficient network environment, and various encryption algorithms are typically applied to protect the data in the cloud. However, it is non-trivial to obtain the original data after encryption and efficient methods are needed to access the original data. Methods: In this paper, we propose a new user-controlled and efficient encrypted data sharing model in cloud storage. It preprocesses user data to ensure the confidentiality and integrity based on triple encryption scheme of CP-ABE ciphertext access control mechanism and integrity verification. Moreover, it adopts secondary screening program to achieve efficient ciphertext retrieval by using distributed Lucene technology and fine-grained decision tree. In this way, when a trustworthy third party is introduced, the security and reliability of data sharing can be guaranteed. To provide data security and efficient retrieval, we also combine active user with active system. Results: Experimental results show that the proposed model can ensure data security in cloud storage services platform as well as enhance the operational performance of data sharing. Conclusion: The proposed security sharing mechanism works well in an actual cloud storage environment.

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