A Comprehensive Overview of Privacy and Data Security for Cloud Storage

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

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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Enhanced Data Security for Public Cloud Environment with Secured Hybrid Encryption Authentication Mechanisms

Scalable Computing Practice and Experience ◽

10.12694/scpe.v19i4.1422 ◽

2018 ◽

Vol 19 (4) ◽

pp. 351-360

Author(s):

Prabu S ◽

Gpinath Ganapathy ◽

Ranjan Goyal

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Data Security ◽

Cloud Storage ◽

Cloud Service ◽

Security Model ◽

Public Cloud ◽

Computing Environment ◽

Data Outsourcing ◽

Cloud Computing Environment

Cloud computing is an evolving computing technology that provides many services such as software and storage. With the introduction of cloud storage, the security of outsourced data has become a major issue in cloud computing. Data storage in cloud computing environment needs to be secured in order to provide a safe and foolproof security for data outsourcing of the cloud service users. This paper presents a model for security of data in public cloud storage environment which successfully detects the unauthenticated access or any anomaly in the data. The proposed authentication model along with the data security model presented in this paper shows that this model is the best model suitable for securing the data in cloud computing environment

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Securing Personal Health Records using Advanced Multi-Factor Authentication in Cloud Computing

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.f9724.038620 ◽

2020 ◽

Vol 8 (6) ◽

pp. 5133-5140

Keyword(s):

Cloud Computing ◽

Data Security ◽

Data Access ◽

Data Encryption ◽

Personal Health Records ◽

Security And Privacy ◽

Healthcare Sector ◽

Personal Health ◽

Health Records ◽

Wrong Decision

Cloud computing is a novel prototype to provide services via the internet. Most of the fields like banking, industries, educational institutions, and healthcare are storing their applications, data and accessing it through cloud because of its versatility and affordable price. Even though cloud has a many special feature, data security and privacy are the most important issues in a cloud background. Especially in healthcare sector, according to recent report numerous amount of healthcare data breached by unknown websites and hackers, and much healthcare information breaches are occurring around the world for different purposes and still it is vulnerable on account of storing and accessing data through third party cloud servers. Due to many attacks on personal health records data security and privacy in cloud environment, it is a primary task to concentrate on solving this issue because such health information are really sensitive, and playing vital role in decision-making of patients health which wrong decision may spoil patient’s health, life along with health institution’s reputation. To ensure security and privacy, data encryption and authentication are the key technologies which are a technique to secure data and create proof identities to obtain access of data in the system. Conventional password authentication does not provide sufficient security for information to the new means of attacks. So, this paper introduces a framework for data encryption using standard RSA and Hash function and advanced multi factor authentication technique to cloud data access which authenticates the user based on different factors such as contextual, signcryption and iris bio-metric features. This prototype to cloud computing is implemented using open source technology. The proposed advanced system minimizes intermediate data access due to the complexity of key access and strong authentication. The performance of the system has been evaluated using experimental results such as encryption and decryption time, authentication accuracy, execution time.

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Data Storage Security in Mobile Cloud Computing (MCC) using Improved Blowfish Algorithm

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit217620 ◽

2021 ◽

pp. 100-111

Author(s):

Seada Abdu Wakene ◽

Sisay Muleta Hababa ◽

Gutema Seboka Daba ◽

K S Ananda Kumar

Keyword(s):

Cloud Computing ◽

Mobile Devices ◽

Data Storage ◽

Mobile Device ◽

Data Security ◽

Mobile Cloud Computing ◽

Data Access ◽

Security And Privacy ◽

Mobile Cloud ◽

Technical Requirements

Mobile cloud computing (MCC) combines cloud computing and mobile computing to deliver vast computational resources to mobile consumers, network operators, and cloud computing providers. You may access your data from anywhere in the globe using any mobile device that is linked to the Internet. Cloud computing provides access to data in real-time whenever and wherever want. Any conventional mobile device can benefit from MCC's infrastructure, computational capacity, software, and platform services. Network security, web application security, data access, authentication, authorization, data confidentiality, and data breach are all concerns of MCC's security. Because mobile devices lack sufficient storage and processing power, their data storage capacity is limited. Users of mobile devices may inadvertently provide sensitive information over the network or through the application. Therefore, data security is the main concern for mobile device users. The objective of this paper is to find a solution that can enhance technical requirements with relation to user’s data security and privacy in mobile cloud computing. To achieve this improved blowfish encryption algorithm is used to encrypt each user’s data security and where the shared secret key is hash down using message digest called secured hash function. Hashing can increase the integrity and privacy of user data. The proposed algorithm is evaluated with a normal blowfish algorithm and 3DES with different parameters. Improved blowfish algorithm shows better performance than normal blowfish algorithm and 3DES. In this work, we have developed web-based application where the Amazon MySQL RDS database is used for data storage.

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A Cloud Storage Encryption Scheme Based on Separated Key and Encryption Policy

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.989-994.2543 ◽

2014 ◽

Vol 989-994 ◽

pp. 2543-2546

Author(s):

Peng Wang ◽

Fu Zheng Zhang ◽

Chun Lei Han

Keyword(s):

Data Storage ◽

Key Management ◽

Cloud Storage ◽

High Performance ◽

Low Cost ◽

Data Encryption ◽

Encryption Scheme ◽

Security Issues ◽

Secure Storage ◽

Storage Encryption

With the continuous expansion of the scale data storage, cloud storage technology for its high performance and low cost to get a lot of attention and support. However, the security issues of cloud storage data hinder its further promotion. For the current cloud storage applications of data stored encrypted, a cloud storage encryption scheme based on the separated key and encryption policy is proposed. By strengthening the data encryption key management and data encryption algorithm, the system achieves a more secure storage of data assurance in the technical level.

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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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Analysis and Research of Data Security Policy Based on Cloud Storage

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.912-914.1160 ◽

2014 ◽

Vol 912-914 ◽

pp. 1160-1163

Author(s):

Ning Wang

Keyword(s):

Data Storage ◽

Computer Technology ◽

Data Security ◽

Security Policy ◽

Cloud Storage ◽

Low Cost ◽

Status Quo ◽

Storage Security ◽

Security Problem ◽

The Status

Cloud computer technology is one of current hot areas of the development of the information technology, and the data storage service based on the cloud is developing rapidly, which makes more and more enterprises and individuals enjoy the efficiency, convenience as well as low cost supplied by cloud storage. However, at the same time, the security problem of cloud storage arouses users' attention. This paper firstly expounds the basic information and system of cloud storage, then analyses the status quo of the development of cloud storage, and finally offers some preventive strategies based on cloud storage security.

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Research on Data Security Audit in Cloud Computing for Big Data Environment

CONVERTER ◽

10.17762/converter.243 ◽

2021 ◽

pp. 659-668

Author(s):

Li Shuanbao

Keyword(s):

Cloud Computing ◽

Data Security ◽

Cloud Storage ◽

Data Privacy ◽

Data Encryption ◽

Third Party ◽

Certification Authority ◽

Data Types ◽

The Impact ◽

Data Audit

The modernization of industrial industry cannot be separated from the development of big data.In order to meet this challenge, cloud data integrity audit has been proposed in recent years and received extensive attention. Based on the in-depth study of the impact of different cloud storage data types on the audit scheme, this paper proposes an audit scheme based on Dynamic Hash table.Based on this, this paper explores a variety of cloud storage audit algorithms for different data types to deal with different security challenges.Facing a series of data security problems brought by cloud computing, this paper analyzes the concept, working principle and characteristics of cloud computing, and discusses the data security risks brought by cloud computing from four aspects. At the same time, this paper elaborates the data security strategy from five aspects: data transmission, data privacy, data isolation, data residue and data audit. In this paper, we propose to adopt end-to-end data encryption technology, build private cloud or hybrid cloud, share table architecture, destroy encrypted data related media, and introduce third-party certification authority for data audit.

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Classification of File Data Based on Confidentiality in Cloud Computing using K-NN Classifier

International Journal of Business Analytics ◽

10.4018/ijban.2016040104 ◽

2016 ◽

Vol 3 (2) ◽

pp. 61-78 ◽

Cited By ~ 2

Author(s):

Munwar Ali Zardari ◽

Low Tang Jung

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Virtual Machine ◽

Data Security ◽

Virtual Machines ◽

Data Classification ◽

Data Encryption ◽

Cloud Services ◽

Security Level ◽

Public Data

Cloud computing is a new paradigm model that offers different services to its customers. The increasing number of users for cloud services i.e. software, platform or infrastructure is one of the major reasons for security threats for customers' data. Some major security issues are highlighted in data storage service in the literature. Data of thousands of users are stored on a single centralized place where the possibility of data threat is high. There are many techniques discussed in the literature to keep data secure in the cloud, such as data encryption, private cloud and multiple clouds concepts. Data encryption is used to encrypt the data or change the format of the data into the unreadable format that unauthorized users could not understand even if they succeed to get access of the data. Data encryption is very expensive technique, it takes time to encrypt and decrypt the data. Deciding the security approach for data security without understanding the security needs of the data is a technically not a valid approach. It is a basic requirement that one should understand the security level of data before applying data encryption security approach. To discover the data security level of the data, the authors used machine learning approach in the cloud. In this paper, a data classification approach is proposed for the cloud and is implemented in a virtual machine named as Master Virtual Machine (Vmm). Other Vms are the slave virtual machines which will receive from Vmm the classified information for further processing in cloud. In this study the authors used three (3) virtual machines, one master Vmm and two slaves Vms. The master Vmm is responsible for finding the classes of the data based on its confidentiality level. The data is classified into two classes, confidential (sensitive) and non-confidential (non-sensitive/public) data using K-NN algorithm. After classification phase, the security phase (encryption phase) shall encrypt only the confidential (sensitive) data. The confidentiality based data classification is using K-NN in cloud virtual environment as the method to encrypt efficiently the only confidential data. The proposed approach is efficient and memory space friendly and these are the major findings of this work.

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