An examination on data integrity auditing patterns in cloud computing

2018 ◽  
Vol 7 (1.9) ◽  
pp. 200
Author(s):  
T A.Mohanaprakash ◽  
J Andrews
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Data Integrity ◽  
Cloud Service ◽  
New Approach ◽  
Computing Services ◽  
Security Challenges ◽  
Cloud Server ◽  
State Of Affairs ◽  
Dynamic Updates

Cloud computing is associate inclusive new approach on however computing services square measure made and utilized. Cloud computing is associate accomplishment of assorted styles of services that has attracted several users in today’s state of affairs. The foremost enticing service of cloud computing is information outsourcing, because of this the information homeowners will host any size of information on the cloud server and users will access the information from cloud server once needed. A dynamic outsourced auditing theme that cannot solely defend against any dishonest entity and collision, however conjointly support verifiable dynamic updates to outsourced information. The new epitome of information outsourcing conjointly faces the new security challenges. However, users might not totally trust the cloud service suppliers (CSPs) as a result of typically they may be dishonest. It's tough to work out whether or not the CSPs meet the customer’s expectations for information security. Therefore, to with success maintain the integrity of cloud information, several auditing schemes are projected. Some existing integrity ways will solely serve for statically archived information and a few auditing techniques is used for the dynamically updated information. The analyzed numerous existing information integrity auditing schemes together with their consequences.

scholarly journals A Study on Strategic Provisioning of Cloud Computing Services

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Md Whaiduzzaman ◽  
Mohammad Nazmul Haque ◽  
Md Rejaul Karim Chowdhury ◽  
Abdullah Gani
Keyword(s):  
Cloud Computing ◽  
Cloud Service ◽  
Future Research ◽  
User Requirements ◽  
Service Provisioning ◽  
Research Issues ◽  
Computing Services ◽  
Cloud Computing Service ◽  
Essential Services ◽  
Cloud Providers

Cloud computing is currently emerging as an ever-changing, growing paradigm that models “everything-as-a-service.” Virtualised physical resources, infrastructure, and applications are supplied by service provisioning in the cloud. The evolution in the adoption of cloud computing is driven by clear and distinct promising features for both cloud users and cloud providers. However, the increasing number of cloud providers and the variety of service offerings have made it difficult for the customers to choose the best services. By employing successful service provisioning, the essential services required by customers, such as agility and availability, pricing, security and trust, and user metrics can be guaranteed by service provisioning. Hence, continuous service provisioning that satisfies the user requirements is a mandatory feature for the cloud user and vitally important in cloud computing service offerings. Therefore, we aim to review the state-of-the-art service provisioning objectives, essential services, topologies, user requirements, necessary metrics, and pricing mechanisms. We synthesize and summarize different provision techniques, approaches, and models through a comprehensive literature review. A thematic taxonomy of cloud service provisioning is presented after the systematic review. Finally, future research directions and open research issues are identified.

VORDi*

2021 ◽  
Vol 12 (4) ◽  
pp. 0-0
Keyword(s):  
Cloud Computing ◽  
Information Systems ◽  
Requirements Engineering ◽  
Systems Engineering ◽  
Early Phase ◽  
Service Providers ◽  
Software As A Service ◽  
New Approach ◽  
Computing Services ◽  
Cloud Computing Services

Cloud computing services mature both economically and technologically and play a more and more extensive role in the domain of software and information systems engineering. SaaS offers advantage for both service providers and consumers. SaaS is faced with the question of appropriate techniques applying at early phase of Requirements engineering of producing system. The paper highlights two traditional methods namely i* and VORD belonging respectively to Goal oriented Requirements Engineering and Viewpoints approaches. The approach proposed try to dealing with the requirements elicitation in the context of Software-as-a-service SaaS. So, the approach benefits from strengths of both VORD and i* models and propose a combination of them in a new approach namely VORDi*.

A Study on Cloud Service with Information Resources

2014 ◽  
Vol 513-517 ◽  
pp. 1425-1430
Author(s):  
Xiu Zhen Feng ◽  
Peng Hao
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Cloud Service ◽  
Information Resources ◽  
Information Resource ◽  
Computing Technology ◽  
Service Model ◽  
New Approach ◽  
Resources Management ◽  
Information Resources Management

Cloud computing technology created a brand new approach for further information resources management and utilization. Based on exploring characteristics and applications of cloud computing technology, the study in this paper is focused on cloud service with information resources. The aim of this study is to construct a cloud service model, namely Information Resource as a Service (IRaaS). Our model depicts the components of IRaaS and relationships among those components, which builds up a prime foundation for further studying on both information resource management and service.

scholarly journals Monitoring Vehicle Communication and Road Condition in VANET

2020 ◽  
pp. 530-537
Author(s):  
Saravanakumar S
Keyword(s):  
Ad Hoc ◽  
Cloud Service ◽  
Security And Privacy ◽  
Geologic Hazard ◽  
The Road ◽  
Computing Services ◽  
Cloud Server ◽  
Road Condition ◽  
Road Condition Monitoring ◽  
Reported Data

The connected vehicular ad-hoc network (VANET) and cloud computing technology allows entities in VANET to enjoy the advantageous storage and computing services offered by some cloud service provider. However, the advantages do not come free since their combination brings many new security and privacy requirements for VANET applications. In this article, we investigate the cloud-based road condition monitoring (RCoM) scenario, where the authority needs to monitor real-time road conditions with the help of a cloud server so that it could make sound responses to emergency cases timely. When some bad road condition is detected, e.g., some geologic hazard or accident happens, vehicles on site are able to report such information to a cloud server engaged by the authority. We focus on addressing three key issues in RCoM. First, the vehicles have to be authorized by some roadside unit before generating a road condition report in the domain and uploading it to the cloud server. Second, to guarantee the privacy against the cloud server, the road condition information should be reported in ciphertext format, which requires that the cloud server should be able to distinguish the reported data from different vehicles in ciphertext format for the same place without compromising their confidentiality. Third, the cloud server and authority should be able to validate the report source, i.e., to check whether the road conditions are reported by legitimate vehicles. To address these issues, we present an efficient RCoM scheme, analyze its efficiency theoretically, and demonstrate the practicality through experiments

Trust Management in Cloud Computing

2019 ◽  
pp. 1686-1711
Author(s):  
Vijay L. Hallappanavar ◽  
Mahantesh N. Birje
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Management System ◽  
Trust Management ◽  
Service Providers ◽  
Cloud Service ◽  
Network Access ◽  
Trust Value ◽  
Trust Management System ◽  
Computing Services

Cloud computing is a model for enabling everywhere, suitable, on-demand network access. There are a number of challenges to provide cloud computing services and to accomplish this, it is necessary to establish trust across the cloud, between the user and the service provider. It is becoming increasingly complex for cloud users to make distinction among service providers offering similar kinds of services. There must be some mechanisms in the hands of users to determine trustworthiness of service providers so that they can select service providers with confidence and with some degree of assurance that service provider will not behave unpredictably or maliciously. An effective trust management system helps cloud service providers and consumers reap the benefits brought about by cloud computing technologies. Hence the objective of this chapter is to describe existing mechanisms that are used to determine a trust worthiness of a cloud service, various models that are used for calculating a trust value and method to establish trust management system.

Cryptography in Big Data Security

2018 ◽  
pp. 71-94
Author(s):  
Navin Jambhekar ◽  
Chitra Anil Dhawale
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information Security ◽  
Data Security ◽  
Computing System ◽  
Mobile Client ◽  
Security Issues ◽  
Cloud Computing System ◽  
Cloud Server ◽  
Encrypted Search

Information security is a prime goal for every individual and organization. The travelling from client to cloud server can be prone to security issues. The big data storages are available through cloud computing system to facilitate mobile client. The information security can be provided to mobile client and cloud technology with the help of integrated parallel and distributed encryption and decryption mechanism. The traditional technologies include the plaintext stored across cloud and can be prone to security issues. The solution provided by applying the encrypted data upload and encrypted search. The clouds can work in collaboration; therefore, the encryption can also be done in collaboration. Some part of encryption handle by client and other part handled by cloud system. This chapter presents the security scenario of different security algorithms and the concept of mobile and cloud computing. This chapter precisely defines the security features of existing cloud and big data system and provides the new framework that helps to improve the data security over cloud computing and big data security system.

Cloud-Based Platforms and Infrastructures

2017 ◽  
pp. 47-90
Author(s):  
Marcus Tanque
Keyword(s):  
Cloud Computing ◽  
Virtual Machines ◽  
Cloud Service ◽  
Resource Provisioning ◽  
Virtual Networks ◽  
Network Resources ◽  
Computing Services ◽  
Service Models ◽  
Cloud Computing Services ◽  
Shared Network

Cloud computing consists of three fundamental service models: infrastructure-as-a-service, platform-as-a service and software-as-a-service. The technology “cloud computing” comprises four deployment models: public cloud, private cloud, hybrid cloud and community cloud. This chapter describes the six cloud service and deployment models, the association each of these services and models have with physical/virtual networks. Cloud service models are designed to power storage platforms, infrastructure solutions, provisioning and virtualization. Cloud computing services are developed to support shared network resources, provisioned between physical and virtual networks. These solutions are offered to organizations and consumers as utilities, to support dynamic, static, network and database provisioning processes. Vendors offer these resources to support day-to-day resource provisioning amid physical and virtual machines.

Management of Privacy and Security in Cloud Computing

2016 ◽  
pp. 1585-1610
Author(s):  
Deniz Tuncalp
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Customer Service ◽  
Service Providers ◽  
Cloud Service ◽  
Legal Compliance ◽  
Privacy And Security ◽  
Service Levels ◽  
Service Contracts ◽  
Service Agreement

There are a number of risk domains that are relevant for information privacy and security in cloud-based scenarios and alternative deployment models, which require implementation of a number of controls. However, cloud service providers often take a one-size-fits-all approach and want all their customers to accept the same standardized contract, regardless of their particular information security and legal compliance needs. Taking ISO 27001 Information Security Management standard as a guide, we have employed the Delphi method with a group of cloud computing experts from around the world who are subscribed to the “Cloud Computing” group on LinkedIN to identify the most applicable controls in a generic cloud service provider – customer context. Based on these results, we use a sample of cloud computing customer service agreement as a case study to further discuss related contingencies. As a result, this chapter argues that a more balanced approach is needed in service contracts to ensure the maintenance of necessary service levels and the protection of cloud users.

SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services

2013 ◽  
Vol 660 ◽  
pp. 196-201 ◽  
Author(s):  
Muhammad Irfan ◽  
Zhu Hong ◽  
Nueraimaiti Aimaier ◽  
Zhu Guo Li
Keyword(s):  
Cloud Computing ◽  
Computer Science ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Computing Services ◽  
Cloud Service Providers ◽  
Cloud Computing Services

Cloud Computing is not a revolution; it’s an evolution of computer science and technology emerging by leaps and bounds, in order to merge all computer science tools and technologies. Cloud Computing technology is hottest to do research and explore new horizons of next generations of Computer Science. There are number of cloud services providers (Amazon EC2), Rackspace Cloud, Terremark and Google Compute Engine) but still enterprises and common users have a number of concerns over cloud service providers. Still there is lot of weakness, challenges and issues are barrier for cloud service providers in order to provide cloud services according to SLA (Service Level agreement). Especially, service provisioning according to SLAs is core objective of each cloud service provider with maximum performance as per SLA. We have identified those challenges issues, as well as proposed new methodology as “SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services”. Currently, cloud service providers are using “orchestrations” fully or partially to automate service provisioning but we are trying to integrate and drive orchestration flows from SLAs. It would be new approach to provision cloud service and deliver cloud service as per SLA, satisfying QoS standards.

scholarly journals Advancing Cloud Network Management with Smart Monitoring Technique

2020 ◽  
Vol 8 (5) ◽  
pp. 495-500
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Infrastructure ◽  
Network Layers ◽  
Monitoring Model ◽  
Computing Services ◽  
Cloud Monitoring ◽  
Cloud Computing Services ◽  
Cloud Network

The proliferation of Cloud Computing has opened new and attractive offerings for consumers. Cloud Service Providers promote and market packages of cloud computing services that cater to diverse opportunities and user applications. While this has obvious advantages, there are certain factors that are a cause for concern. Monitoring the underlying infrastructure that supports the entire fabric of cloud computing is an aspect that requires a great deal of attention. The aspect of monitoring takes on a great deal of significance when performance and robustness of cloud service on offer is taken into consideration. Although research has been conducted into various cloud computing monitoring techniques, there is scope and room yet for an integrated cloud monitoring solution that can fulfill the requirements of cloud administrators to ensure optimal performance of the underlying infrastructure of a cloud computing network. In this paper, we propose a unified monitoring model that is essentially a composite framework involving hardware and network layers. Studies conducted during our experiments suggest that our unified cloud monitoring approach can significantly aid in reducing overall carbon emissions while helping meeting compliance and audit norms by ensuring that the underlying cloud infrastructure is monitored closely

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