Analysis of Trust Issues Based on Evolutionary Game in Cloud Computing

2014 ◽  
Vol 513-517 ◽  
pp. 1882-1885
Author(s):  
Feng Ming Liu ◽  
Ting Ting Ma ◽  
Kun Zhou
Keyword(s):  
Game Theory ◽  
Cloud Computing ◽  
Trust Management ◽  
Service Providers ◽  
Evolutionary Game ◽  
Cloud Service ◽  
Security Risks ◽  
Security Issues ◽  
Cloud Service Providers ◽  
Improved Methods

With the development of cloud computing, a number of cloud security issues have emerged. This paper firstly introduce the cloud computing and security risks briefly, then use game theory to analyze strategies between cloud service providers and that between providers and users, finally, put forward the improved methods for trust management.

A Compendium of Cloud Forensics

2020 ◽  
pp. 215-227
Author(s):  
Mohd. Akbar ◽  
Mohammad Suaib ◽  
Mohd. Shahid Husain ◽  
Saurabh Shukla
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Legal Issues ◽  
Cloud Environment ◽  
Cyber Forensics ◽  
Cloud Forensics ◽  
Security Issues ◽  
Cloud Service Providers ◽  
Traditional Approaches

The cloud computing environment is one of the most promising technologies in the development of computing resources. The cloud service providers provide almost every resource for computing to their users through the internet. With all its advantages, cloud computing has major security issues. Especially in the case of public clouds, anyone can misuse the services for performing unlawful activities. The traditional approaches used for cyber forensics and network forensics are not adequate for the cloud environment because of many technical constraints. There is a need for setting up effective countermeasures that can help an investigator to identify and track unlawful activities happened in a cloud environment. Cloud forensics is an emerging area of research where the researchers aim to provide effective digital forensic techniques that help in the investigation of digital crimes in a cloud environment. The cloud environment helps to extract data even from devices that are not physically accessible. However, cloud forensics is not as easy as it seems; a lot of the success depends on the cloud service model implemented in the context. Getting the support of cloud service providers in accessing the potential sources of evidence necessary for investigation is also a major concern. Another critical aspect of cloud forensics is dealing with legal issues. This chapter discusses the basic concepts of cloud forensics, its challenges, and future directions.

Security in Cloud Computing

2012 ◽  
pp. 208-221
Author(s):  
Alpana M. Desai ◽  
Kenrick Mock
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Security Threats ◽  
Security Risks ◽  
Cloud Service Providers ◽  
International Data ◽  
It Executives ◽  
Privacy Issues

Cloud computing has recently emerged in prominence and is being rapidly adopted by organizations because of its potential and perceived benefits of flexibility and affordability. According to surveys conducted in 2008 and 2009 by International Data Corporation (IDC) of IT executives and CIOs, security was cited as the top concern for the adoption of cloud computing. Enterprises that plan to utilize cloud services for their infrastructure, platform, and/or software needs must understand the security risks and privacy issues related to cloud computing. This chapter discusses the technical, legal, and policy/organizational security risks of cloud computing, and reviews recommendations/strategies for managing and mitigating security threats in cloud computing. It also presents vendor-specific solutions and strategies that cloud service providers are implementing for mitigating security risks in cloud computing.

Security in Cloud Computing

2015 ◽  
pp. 1450-1463
Author(s):  
Alpana M. Desai ◽  
Kenrick Mock
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Security Threats ◽  
Security Risks ◽  
Cloud Service Providers ◽  
International Data ◽  
It Executives ◽  
Privacy Issues

Cloud computing has recently emerged in prominence and is being rapidly adopted by organizations because of its potential and perceived benefits of flexibility and affordability. According to surveys conducted in 2008 and 2009 by International Data Corporation (IDC) of IT executives and CIOs, security was cited as the top concern for the adoption of cloud computing. Enterprises that plan to utilize cloud services for their infrastructure, platform, and/or software needs must understand the security risks and privacy issues related to cloud computing. This chapter discusses the technical, legal, and policy/organizational security risks of cloud computing, and reviews recommendations/strategies for managing and mitigating security threats in cloud computing. It also presents vendor-specific solutions and strategies that cloud service providers are implementing for mitigating security risks in cloud computing.

scholarly journals Attacks and Intrusion Detection in Cloud Computing Using Neural Networks and Particle Swarm Optimization Algorithms

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Ahmad Shokuh Saljoughi ◽  
Mehrdad Mehrvarz ◽  
Hamid Mirvaziri
Keyword(s):  
Cloud Computing ◽  
Particle Swarm Optimization ◽  
Service Providers ◽  
Particle Swarm ◽  
Cloud Service ◽  
Sand Particle ◽  
Security Risks ◽  
Swarm Optimization ◽  
Cloud Service Providers ◽  
Improved Accuracy

Today, cloud computing has become popular among users in organizations and companies. Security and efficiency are the two major issues facing cloud service providers and their customers. Since cloud computing is a virtual pool of resources provided in an open environment (Internet), cloud-based services entail security risks. Detection of intrusions and attacks through unauthorized users is one of the biggest challenges for both cloud service providers and cloud users. In the present study, artificial intelligence techniques, e.g. MLP Neural Network sand particle swarm optimization algorithm, were used to detect intrusion and attacks. The methods were tested for NSL-KDD, KDD-CUP datasets. The results showed improved accuracy in detecting attacks and intrusions by unauthorized users.

Migration Issues in Cloud Computing due to Security Flaws

2015 ◽  
Vol 8 (2) ◽  
Author(s):  
Hitesh Marwaha ◽  
Dr. Rajeshwar Singh
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Trusted Computing ◽  
Cloud Service ◽  
Cloud Services ◽  
The Internet ◽  
Security Issues ◽  
Cloud Computing Service ◽  
Cloud Service Providers ◽  
Almost All

Cloud computing is becoming an adoptable technology for many of the organizations with its dynamic scalability and usage of virtualized resources as a service through the Internet. Cloud computing is the delivery of computing services over the Internet. Cloud services allow individuals and businesses to use software and hardware that are managed by third parties at remote locations. Cloud Computing is a computing model, in which customer plug into the “cloud” to access IT resources which are priced and provided “on-demand”. The major challenges that prevent Cloud Computing from being adopted are recognized by organizations are security issues. Many techniques for securing the data in cloud are proposed by researcher but almost all methods have some drawbacks and till date no appropriate method has not been proposed that Cloud service providers can win the trust of customer. In this research paper the various security issues are reviewed along with cloud computing service providers which will give a deep insight for cloud service providers as well as researchers to work on the areas and make cloud computing a“trusted computing “and hardening the confidence of organizations towards cloud computing migration.

SECURITY IN CLOUD COMPUTING IN INDIAN GOVERNMENT

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Nitin Vishnu Choudhari ◽  
Dr. Ashish B Sasankar
Keyword(s):  
Cloud Computing ◽  
Service Delivery ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Security ◽  
End Users ◽  
Security Architecture ◽  
Security Measures ◽  
End User ◽  
Cloud Service Providers

Abstract –Today Security issue is the topmost problem in the cloud computing environment. It leads to serious discomfort to the Governance and end-users. Numerous security solutions and policies are available however practically ineffective in use. Most of the security solutions are centered towards cloud technology and cloud service providers only and no consideration has been given to the Network, accessing, and device securities at the end-user level. The discomfort at the end-user level was left untreated. The security of the various public, private networks, variety of devices used by end-users, accessibility, and capacity of end-users is left untreated. This leads towards the strong need for the possible modification of the security architecture for data security at all levels and secured service delivery. This leads towards the strong need for the possible adaption of modified security measures and provisions, which shall provide secured hosting and service delivery at all levels and reduce the security gap between the cloud service providers and end-users. This paper investigates the study and analyze the security architecture in the Cloud environment of Govt. of India and suggest the modifications in the security architecture as per the changing scenario and to fulfill the future needs for the secured service delivery from central up to the end-user level. Keywords: Cloud Security, Security in GI Cloud, Cloud Security measures, Security Assessment in GI Cloud, Proposed Security for GI cloud

scholarly journals АНАЛИЗ ПОДХОДОВ К ОБЕСПЕЧЕНИЮ БЕЗОПАСНОСТИ ОБЛАЧНЫХ СЕРВИСОВ

2020 ◽  
pp. 70-82
Author(s):  
Вячеслав Вікторович Фролов
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Geographical Location ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Infrastructure ◽  
Critical System ◽  
Cloud Service Providers ◽  
Safety And Reliability ◽  
Cloud Resources

The article is devoted to the analysis of modern approaches that ensure the security of cloud services. Since cloud computing is one of the fastest growing areas among information technology, it is extremely important to ensure the safety and reliability of processes occurring in the clouds and to secure the interaction between the client and the provider of cloud services. Given that fears about data loss and their compromise are one of the main reasons that some companies do not transfer their calculations to the clouds. The object of research and analysis of this work are cloud services, which are provided by various cloud service providers. The aim of the study of this work is to compare existing approaches that provide information security for cloud services, as well as offer a new approach based on the principle of diversity. There are many approaches that ensure their safety, using both traditional and cloud-specific. The multi-cloud approach is one of the most promising strategies for improving reliability by reserving cloud resources on the servers of various cloud service providers. It is shown that it is necessary to use diversity to ensure the reliability and safety of critical system components. The principle of diversity is to use a unique version of each resource thanks to a special combination of a cloud computing provider, the geographical location of data centers, cloud service presentation models, and cloud infrastructure deployment models. The differences between cloud providers and which combination of services are preferable to others in terms of productivity are discussed in detail. In addition, best practices for securing cloud resources are reviewed. As a result, this paper concludes that there is a problem of insufficient security and reliability of cloud computing and how to reduce threats in order to avoid a common cause failure and, as a result, loss of confidential data or system downtime using diversity of cloud services.

scholarly journals Dear Cloud, I Think We Have Trust Issues: Cloud Computing Contracts and Trust

2020 ◽  
pp. 21-42
Author(s):  
Theo Lynn
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Standard Form ◽  
Cloud Service ◽  
Contract Law ◽  
Cloud Service Provider ◽  
Internet Users ◽  
Cloud Service Providers ◽  
The Relationship ◽  
Dominant Paradigm

Abstract Cloud computing is the dominant paradigm in modern computing, used by billions of Internet users worldwide. It is a market dominated by a small number of hyperscale cloud service providers. The overwhelming majority of cloud customers agree to standard form click-wrap contracts, with no opportunity to negotiate specific terms and conditions. Few cloud customers read the contracts that they agree to. It is clear that contracts in cloud computing are primarily an instrument of control benefiting one side, the cloud service provider. This chapter provides an introduction to the relationship between psychological trust, contracts and contract law. It also offers an overview of the key contract law issues that arise in cloud computing and introduces some emerging paradigms in cloud computing and contracts.

scholarly journals RVLBPNN: A Workload Forecasting Model for Smart Cloud Computing

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Yao Lu ◽  
John Panneerselvam ◽  
Lu Liu ◽  
Yan Wu
Keyword(s):  
Neural Network ◽  
Cloud Computing ◽  
Prediction Model ◽  
Prediction Accuracy ◽  
Service Providers ◽  
Cloud Service ◽  
Backpropagation Neural Network ◽  
Environmental Implications ◽  
Cloud Service Providers ◽  
Cloud Workloads

Given the increasing deployments of Cloud datacentres and the excessive usage of server resources, their associated energy and environmental implications are also increasing at an alarming rate. Cloud service providers are under immense pressure to significantly reduce both such implications for promoting green computing. Maintaining the desired level of Quality of Service (QoS) without violating the Service Level Agreement (SLA), whilst attempting to reduce the usage of the datacentre resources is an obvious challenge for the Cloud service providers. Scaling the level of active server resources in accordance with the predicted incoming workloads is one possible way of reducing the undesirable energy consumption of the active resources without affecting the performance quality. To this end, this paper analyzes the dynamic characteristics of the Cloud workloads and defines a hierarchy for the latency sensitivity levels of the Cloud workloads. Further, a novel workload prediction model for energy efficient Cloud Computing is proposed, named RVLBPNN (Rand Variable Learning Rate Backpropagation Neural Network) based on BPNN (Backpropagation Neural Network) algorithm. Experiments evaluating the prediction accuracy of the proposed prediction model demonstrate that RVLBPNN achieves an improved prediction accuracy compared to the HMM and Naïve Bayes Classifier models by a considerable margin.

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