Research on Core Data Protection Based on Cloud Computing

2019 ◽  
pp. 1167-1174
Author(s):  
Guoru Deng ◽  
Shuai Hu ◽  
Hui Yuan ◽  
Liang Dong ◽  
Yan Zhuang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Protection ◽  
Core Data

scholarly journals A New Secure Model for Data Protection over Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Amr M. Sauber ◽  
Passent M. El-Kafrawy ◽  
Amr F. Shawish ◽  
Mohamed A. Amin ◽  
Ismail M. Hagag
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Protection ◽  
Cloud Services ◽  
Security And Privacy ◽  
Storage Model ◽  
Cloud Data ◽  
Security Issues ◽  
Data Owner ◽  
Proposed Model

The main goal of any data storage model on the cloud is accessing data in an easy way without risking its security. A security consideration is a major aspect in any cloud data storage model to provide safety and efficiency. In this paper, we propose a secure data protection model over the cloud. The proposed model presents a solution to some security issues of cloud such as data protection from any violations and protection from a fake authorized identity user, which adversely affects the security of the cloud. This paper includes multiple issues and challenges with cloud computing that impairs security and privacy of data. It presents the threats and attacks that affect data residing in the cloud. Our proposed model provides the benefits and effectiveness of security in cloud computing such as enhancement of the encryption of data in the cloud. It provides security and scalability of data sharing for users on the cloud computing. Our model achieves the security functions over cloud computing such as identification and authentication, authorization, and encryption. Also, this model protects the system from any fake data owner who enters malicious information that may destroy the main goal of cloud services. We develop the one-time password (OTP) as a logging technique and uploading technique to protect users and data owners from any fake unauthorized access to the cloud. We implement our model using a simulation of the model called Next Generation Secure Cloud Server (NG-Cloud). These results increase the security protection techniques for end user and data owner from fake user and fake data owner in the cloud.

Impact of EU Data Protection Laws on Cloud Computing

2015 ◽  
pp. 56-79 ◽  
Author(s):  
Morgan Eldred ◽  
Carl Adams ◽  
Alice Good
Keyword(s):  
Cloud Computing ◽  
Cultural Differences ◽  
Data Protection ◽  
Legal Systems ◽  
Tectonic Plates ◽  
Nation States ◽  
Global Nature ◽  
Eu Directives ◽  
Fault Lines

The global nature of cloud computing has resulted in emerging challenges, such as clashes between legal systems, cultural differences, and business practice norms: cloud-computing is at the forefront of recognising, and “smoothing over,” emergent differences between nation states as we move towards a more globally connected world. This chapter uses the emergent differences over regulation governing data protection; as the world becomes more interconnected, we are likely to see more examples of technology practices and models sweeping around the globe, and raising further areas for clashes between nations and regions, much like the fault lines between tectonic plates. This chapter provides contribution by capturing some emergent “fault lines” in an in-depth case study comparing the evolving EU directives covering data protection and how they relate to non-EU data protection legal systems. This provides the foundations to consider cloud-computing challenges, inform policymakers in measures to resolve “clashes,” and in informing researchers investigating other global technology phenomena.

Necessity of Key Aggregation Cryptosystem for Data Sharing in Cloud Computing

2019 ◽  
pp. 1393-1407
Author(s):  
R. Deepthi Crestose Rebekah ◽  
Dhanaraj Cheelu ◽  
M. Rajasekhara Babu
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Data Protection ◽  
Cloud Storage ◽  
Symmetric Encryption ◽  
Secure Storage ◽  
Constant Size ◽  
Secret Keys ◽  
Protection Mechanisms ◽  
Existing Data

Cloud computing is one of the most exciting technologies due to its ability to increase flexibility and scalability for computer processes, while reducing cost associated with computing. It is important to share the data securely, efficiently, and flexibly in cloud storage. Existing data protection mechanisms such as symmetric encryption techniques are unsuccessful in preventing data sharing securely. This article suggests Key aggregate cryptosystem which produce constant size ciphertexts in order to delegate decryption rights for any set of ciphertexts. The uniqueness is that one can aggregate any number of secret keys and make them as compact as a single key. This compact aggregate key can be easily sent to others with very limited secure storage.

Impact of EU Data Protection Laws on Cloud Computing

Web Services ◽  
2019 ◽  
pp. 1883-1906
Author(s):  
Morgan Eldred ◽  
Carl Adams ◽  
Alice Good
Keyword(s):  
Cloud Computing ◽  
Cultural Differences ◽  
Data Protection ◽  
Legal Systems ◽  
Tectonic Plates ◽  
Nation States ◽  
Global Nature ◽  
Eu Directives ◽  
Fault Lines

The global nature of cloud computing has resulted in emerging challenges, such as clashes between legal systems, cultural differences, and business practice norms: cloud-computing is at the forefront of recognising, and “smoothing over,” emergent differences between nation states as we move towards a more globally connected world. This chapter uses the emergent differences over regulation governing data protection; as the world becomes more interconnected, we are likely to see more examples of technology practices and models sweeping around the globe, and raising further areas for clashes between nations and regions, much like the fault lines between tectonic plates. This chapter provides contribution by capturing some emergent “fault lines” in an in-depth case study comparing the evolving EU directives covering data protection and how they relate to non-EU data protection legal systems. This provides the foundations to consider cloud-computing challenges, inform policymakers in measures to resolve “clashes,” and in informing researchers investigating other global technology phenomena.

Regulating European Clouds

2016 ◽  
pp. 42-60
Author(s):  
Szilvia Varadi
Keyword(s):  
Cloud Computing ◽  
Data Protection ◽  
New Technology ◽  
Research Area ◽  
Third Party ◽  
The European Union ◽  
General Data Protection Regulation ◽  
Goods And Services ◽  
Data Protection Directive ◽  
Set Up

Cloud Computing is a diverse research area that encompasses many aspects of sharing software and hardware solutions, including computing and storage resources, application runtimes or complex application functionalities. In the supply of any goods and services, the law gives certain rights that protect the consumer and provider, which also applies for Cloud Computing. This new technology also moves functions and responsibilities away from local ownership and management to a third-party provided service, and raises several legal issues, such as data protection, which require this service to comply with necessary regulation. In this chapter the author investigates the revised legislation of the European Union resulting in the General Data Protection Regulation, which will be used to set up the new European Data Protection Framework. The author gathers and summarizes the most relevant changes this regulation brings to the field of Clouds, and draws relations to the previous legislation called the Data Protection Directive currently in force.

Cloud Computing and the New EU General Data Protection Regulation

2018 ◽  
Vol 5 (6) ◽  
pp. 58-68 ◽  
Author(s):  
Barbara Russo ◽  
Laura Valle ◽  
Guido Bonzagni ◽  
Davide Locatello ◽  
Marta Pancaldi ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Protection ◽  
General Data Protection Regulation ◽  
General Data

scholarly journals Data protection by design: Building the foundations of trustworthy data sharing

Data & Policy ◽  
2020 ◽  
Vol 2 ◽  
Author(s):  
Sophie Stalla-Bourdillon ◽  
Gefion Thuermer ◽  
Johanna Walker ◽  
Laura Carmichael ◽  
Elena Simperl
Keyword(s):  
Organizational Structure ◽  
Data Sharing ◽  
Data Protection ◽  
Open Data ◽  
Design Approach ◽  
Core Data ◽  
Commercial Agreements

Abstract Data trusts have been conceived as a mechanism to enable the sharing of data across entities where other formats, such as open data or commercial agreements, are not appropriate, and make data sharing both easier and more scalable. By our definition, a data trust is a legal, technical, and organizational structure for enabling the sharing of data for a variety of purposes. The concept of the “data trust” requires further disambiguation from other facilitating structures such as data collaboratives. Irrespective of the terminology used, attempting to create trust in order to facilitate data sharing, and create benefit to individuals, groups of individuals, or society at large, requires at a minimum a process-based mechanism, that is, a workflow that should have a trustworthiness-by-design approach at its core. Data protection by design should be a key component of such an approach.

Sign in / Sign up

Export Citation Format

Share Document