An Overview of Issues and Recent Developments in Cloud Computing and Storage Security

2013 ◽  
pp. 3-33 ◽  
Author(s):  
Everaldo Aguiar ◽  
Yihua Zhang ◽  
Marina Blanton
Keyword(s):  
Cloud Computing ◽  
Storage Security ◽  
Recent Developments ◽  
And Storage

Security Aspects in Cloud Computing

2018 ◽  
pp. 54-76
Author(s):  
Tabassum N. Mujawar ◽  
Ashok V. Sutagundar ◽  
Lata L. Ragha
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Third Party ◽  
Storage Security ◽  
Security Issues ◽  
Access Control Mechanism ◽  
And Storage ◽  
Privacy Issues ◽  
Different Levels

Cloud computing is recently emerging technology, which provides a way to access computing resources over Internet on demand and pay per use basis. Cloud computing is a paradigm that enable access to shared pool of resources efficiently, which are managed by third party cloud service providers. Despite of various advantages of cloud computing security is the biggest threat. This chapter describes various security concerns in cloud computing. The clouds are subject to traditional data confidentiality, integrity, availability and various privacy issues. This chapter comprises various security issues at different levels in environment that includes infrastructure level security, data level and storage security. It also deals with the concept of Identity and Access Control mechanism.

Security Aspects in Cloud Computing

2017 ◽  
pp. 320-342 ◽  
Author(s):  
Tabassum N. Mujawar ◽  
Ashok V. Sutagundar ◽  
Lata L. Ragha
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Third Party ◽  
Storage Security ◽  
Security Issues ◽  
Access Control Mechanism ◽  
And Storage ◽  
Privacy Issues ◽  
Different Levels

Cloud computing is recently emerging technology, which provides a way to access computing resources over Internet on demand and pay per use basis. Cloud computing is a paradigm that enable access to shared pool of resources efficiently, which are managed by third party cloud service providers. Despite of various advantages of cloud computing security is the biggest threat. This chapter describes various security concerns in cloud computing. The clouds are subject to traditional data confidentiality, integrity, availability and various privacy issues. This chapter comprises various security issues at different levels in environment that includes infrastructure level security, data level and storage security. It also deals with the concept of Identity and Access Control mechanism.

scholarly journals Security Architecture for Multi Tenant Cloud Migration

2020 ◽  
Author(s):  
S. Manikanda Saran ◽  
S. Raja Suria
Keyword(s):  
Cloud Computing ◽  
Scale Up ◽  
Cost Effective ◽  
Cloud Service ◽  
Storage Security ◽  
Security Issues ◽  
Cloud Migration ◽  
Staging Area ◽  
Scale Down ◽  
And Storage

In today’s competitive IT world Cloud Computing is the word rolling around in all activities of IT companies. Thus, everyone is transforming their infrastructure from legacy infrastructure to cloud computing which is very feasible, and Cost effective. Finally, it can scale up and scale down instantly on demand basis. When companies think about the cloud adoption, security is the biggest issue and data is stored in software defined environment. This paper addresses security parameters which need to be mainly considered for cloud migration. Cloud service provider is responsible for building fence around the underlying infrastructure i.e. Compute, network and storage. Security is the main controller for adopting the cloud environment. In Cloud computing, security issues are identified with different layers. In this paper, new architecture is proposed for achieving data confidentiality and data integrity in multitenant workload migration into cloud. This architecture ensures that tenant has secure relationship between source and destination data centers via staging area. This staging area has capability to migrate the workload in different hypervisors. Workload meets security guidelines through this migration process from beginning to end.

Data Security Research for Cloud Computing

2014 ◽  
Vol 687-691 ◽  
pp. 2764-2767
Author(s):  
Qiang Li ◽  
Kui Yang ◽  
Li Ma
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Transmission ◽  
Data Security ◽  
Network Technology ◽  
Cloud Environment ◽  
Service Model ◽  
Storage Security ◽  
Security Research ◽  
And Storage

With the popularity of the cloud computing, network technology obtains unprecedented development and revolution. Cloud computing is the direction of cyberspace storage in the computer and internet filed. Big data and multi-dimensional storage and calculation along with the cloud computing. Therefore, internet data security is the key point. For example, based on the cloud environment, the big data transmission and storage requires encryption technology. This article will research the data security of cloud computing, design the service model of data security encryption, and realize data transmission and storage security service of computer and internet cloud environment.

scholarly journals An Efficient Protocol With Bidirectional Verification for Storage Security in Cloud Computing

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 7899-7911 ◽  
Author(s):  
Bin Feng ◽  
Xinzhu Ma ◽  
Cheng Guo ◽  
Hui Shi ◽  
Zhangjie Fu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Storage Security

scholarly journals A Survey on Mobile Edge Computing: Focusing on Service Adoption and Provision

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Kai Peng ◽  
Victor C. M. Leung ◽  
Xiaolong Xu ◽  
Lixin Zheng ◽  
Jiabin Wang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Networks ◽  
Edge Computing ◽  
Computation Offloading ◽  
Battery Life ◽  
Mobile Edge Computing ◽  
Service Adoption ◽  
Comprehensive Survey ◽  
And Storage ◽  
Execution Delay

Mobile cloud computing (MCC) integrates cloud computing (CC) into mobile networks, prolonging the battery life of the mobile users (MUs). However, this mode may cause significant execution delay. To address the delay issue, a new mode known as mobile edge computing (MEC) has been proposed. MEC provides computing and storage service for the edge of network, which enables MUs to execute applications efficiently and meet the delay requirements. In this paper, we present a comprehensive survey of the MEC research from the perspective of service adoption and provision. We first describe the overview of MEC, including the definition, architecture, and service of MEC. After that we review the existing MUs-oriented service adoption of MEC, i.e., offloading. More specifically, the study on offloading is divided into two key taxonomies: computation offloading and data offloading. In addition, each of them is further divided into single MU offloading scheme and multi-MU offloading scheme. Then we survey edge server- (ES-) oriented service provision, including technical indicators, ES placement, and resource allocation. In addition, other issues like applications on MEC and open issues are investigated. Finally, we conclude the paper.

scholarly journals Balancing Access Control and Privacy for Data Deduplication via Functional Encryption

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Bo Mi ◽  
Ping Long ◽  
Yang Liu ◽  
Fengtian Kuang
Keyword(s):  
Access Control ◽  
Security Analysis ◽  
Functional Encryption ◽  
Data Deduplication ◽  
Paper Briefly ◽  
Storage Security ◽  
Redundancy Removal ◽  
Proof Of Ownership ◽  
Learning With Errors ◽  
And Storage

Data deduplication serves as an effective way to optimize the storage occupation and the bandwidth consumption over clouds. As for the security of deduplication mechanism, users’ privacy and accessibility are of utmost concern since data are outsourced. However, the functionality of redundancy removal and the indistinguishability of deduplication labels are naturally incompatible, which bring about a lot of threats on data security. Besides, the access control of sharing copies may lead to infringement on users’ attributes and cumbersome query overheads. To balance the usability with the confidentiality of deduplication labels and securely realize an elaborate access structure, a novel data deduplication scheme is proposed in this paper. Briefly speaking, we drew support from learning with errors (LWE) to make sure that the deduplication labels are only differentiable during the duplication check process. Instead of authority matching, the proof of ownership (PoW) is then implemented under the paradigm of inner production. Since the deduplication label is light-weighted and the inner production is easy to carry out, our scheme is more efficient in terms of computation and storage. Security analysis also indicated that the deduplication labels are distinguishable only for duplication check, and the probability of falsifying a valid ownership is negligible.

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