scholarly journals Cloud Computing Security Management using CSP

2020 ◽  
Vol 9 (2) ◽  
pp. 1230-1236
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Key Management ◽  
Network Access ◽  
Data Confidentiality ◽  
Configurable Computing ◽  
Shared Data ◽  
System A ◽  
Share Data ◽  
Encryption Decryption

The cloud was defined by lots of experts, yet the NIST (National Institute of Standards and Technology) has presented the definition: “a model for enabling comfortable, ondemand network access to a shared pool of configurable computing resources The aim of this paper is a model for safe data sharing on cloud computing with intension to provide data confidentiality and access control over shared data, it also removes the burden of key management and files by users. The system also supports dynamic changes of membership and enables clients to reach the data they require even when the owner does not exist in the system. In the proposed system, a new security system is introduced, it provides a mechanism through which communication is safely achieved as well as it protects users and their hidden information from unauthorized users. The Entities in Proposed System consist of three parts: CSP, Users (owner ,clients ) and TPA , in this paper the focus will be on the CSP and the users. The proposed system are provides data confidentiality, access control of share data, removes the burden of key management and file encryption/decryption byusers, support dynamically of users membership. The use of a digital signature ensures the integrity and confidentiality of sharing data sent by users so that it cannot be read by the recipient TPA as it encrypts, sends a new encrypted signature and sends it to the CSP so that it cannot read its content CSP proved to be effective in the security of cloud computing.

New Media Cloud Computing

2014 ◽  
pp. 1636-1648
Author(s):  
P. Sasikala
Keyword(s):  
Cloud Computing ◽  
New Media ◽  
Community Formation ◽  
Media Content ◽  
Network Access ◽  
Configurable Computing ◽  
Online Data ◽  
On Demand ◽  
The Many ◽  
Media Cloud

New Media is a generic term for the many different forms of electronic communication that are made possible through the use of computer technology. New media refers to on-demand access to content anytime, anywhere, on any digital device, as well as interactive user feedback, creative participation and community formation around the media content. Another important promise of new media is the “democratization” of the creation, publishing, distribution and consumption of media content along with real-time generation of new and user created content. Cloud computing, is a style of computing where scalable and elastic IT-related capabilities are provided as shared assorted services (IaaS, PaaS, SaaS, DaaS). It is metered by use, to customers using internet technologies built on top of diverse technologies like virtualisation, distributed computing, utility computing, and more recently networking, web infrastructure and providing on-demand network access to a shared pool of configurable computing resources. It represents a paradigm shift in how we think about our data, the role of our computing devices and on managing computing resources. Being an emerging service technology with promising novel and valuable capabilities it attracts industrial research community with main focus on standardisation and customised implementation in every segment of society. To meet out the ever growing popularity of the inevitable new media applications and services over the Internet and the way it overpowers mobile devices, there is a strong demand for cloud integration. This paper outlines the concepts of new media cloud computing and addresses the problem of handling exponential growth of online data. It presents a novel framework for New Media Cloud Computing. A preliminary simulation of the work on the proposed architecture shows that there is increase in the quality of computations done, despite the demand of constant updating of resources in New Media environment.

New Media Cloud Computing

2013 ◽  
Vol 3 (2) ◽  
pp. 61-72
Author(s):  
P. Sasikala
Keyword(s):  
Cloud Computing ◽  
New Media ◽  
Community Formation ◽  
Media Content ◽  
Network Access ◽  
Configurable Computing ◽  
Online Data ◽  
On Demand ◽  
The Many ◽  
Media Cloud

New Media is a generic term for the many different forms of electronic communication that are made possible through the use of computer technology. New media refers to on-demand access to content anytime, anywhere, on any digital device, as well as interactive user feedback, creative participation and community formation around the media content. Another important promise of new media is the “democratization” of the creation, publishing, distribution and consumption of media content along with real-time generation of new and user created content. Cloud computing, is a style of computing where scalable and elastic IT-related capabilities are provided as shared assorted services (IaaS, PaaS, SaaS, DaaS). It is metered by use, to customers using internet technologies built on top of diverse technologies like virtualisation, distributed computing, utility computing, and more recently networking, web infrastructure and providing on-demand network access to a shared pool of configurable computing resources. It represents a paradigm shift in how we think about our data, the role of our computing devices and on managing computing resources. Being an emerging service technology with promising novel and valuable capabilities it attracts industrial research community with main focus on standardisation and customised implementation in every segment of society. To meet out the ever growing popularity of the inevitable new media applications and services over the Internet and the way it overpowers mobile devices, there is a strong demand for cloud integration. This paper outlines the concepts of new media cloud computing and addresses the problem of handling exponential growth of online data. It presents a novel framework for New Media Cloud Computing. A preliminary simulation of the work on the proposed architecture shows that there is increase in the quality of computations done, despite the demand of constant updating of resources in New Media environment.

Strategic Planning for Cloud Computing Adoption in STEM Education

2019 ◽  
pp. 459-469
Author(s):  
Alan S. Weber
Keyword(s):  
Cloud Computing ◽  
Stem Education ◽  
Network Access ◽  
Configurable Computing ◽  
Computing Services ◽  
Cloud Computing Adoption ◽  
E Learning ◽  
Management Effort ◽  
Cloud Computing Services ◽  
And Mathematics

This chapter describes effective strategic analysis and implementation methods for the adoption of cloud computing services (infrastructure, platforms, and software) in Science, Technology, Engineering, and Mathematics (STEM) education. The benefits of cloud computing, including lower costs, scalability and virtualization capabilities, have been recognized and adopted by major educational, governmental and research institutions internationally during the last five years. However, the term ‘cloud computing' was only recently clarified in 2011 in the NIST's standard definition published by Mell and Grance (2012) as “a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.” Despite the increasing clarity in defining cloud computing, the deployment models can be complex, encompassing hybrid, public, community and private cloud frameworks, all with varying levels of privacy, security, and trust. Data format, integrity, and portability as well as geographical server location represent additional factors that educational institutions must weigh when they consider adopting a cloud solution for their educational needs. The chapter provides advice on how to strategically plan for the use of cloud computing services and how to identify, weigh and assess the various factors in decision-making. Just as with e-learning when it was found at the end of the 1990s that purely online technological approaches were not as effective as pedagogical models (blended learning) which took into account human factors such as student motivation, teacher training, technological illiteracy, etc., the author suggests that a holistic technology adoption process that includes needs assessment and stakeholder engagement will be the most successful.

Cloud Security Data Critical Review

2020 ◽  
Vol 17 (9) ◽  
pp. 4715-4717
Author(s):  
A. A. Prokin
Keyword(s):  
Cloud Computing ◽  
Mobile Communications ◽  
Critical Review ◽  
Network Architecture ◽  
Large Scale ◽  
Public Access ◽  
Network Access ◽  
Configurable Computing ◽  
On Demand ◽  
Suitable System

Cloud computing is a model for providing convenient network access on demand to some common fund of configurable computing resources. These calculations are flexible, scalable, and inexpensive, but have large-scale sharing of services among multiple users. The broad coverage of the idea of cloud computing has led to significant changes, both in public access systems and in mobile communications, which prompted advanced researchers to provide suitable system protocols and network architecture. In cloud computing, there are two main problems: access control and security. Therefore, the security of both services and users is a significant problem that stands in the way of using and trust in cloud computing.

Comparisons of Cloud Computing Models and Technologies

2012 ◽  
Vol 524-527 ◽  
pp. 3805-3808
Author(s):  
Yu Hu
Keyword(s):  
Cloud Computing ◽  
Competitive Advantage ◽  
Service Provider ◽  
Network Access ◽  
Configurable Computing ◽  
On Demand ◽  
New Ideas ◽  
Management Effort ◽  
Computing Models

Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud computing allows new ideas, business concepts, and prototype systems to rapidly move to market, which represents a competitive advantage. Some cloud computing models and technologies are compared in this paper.

scholarly journals On the Economical Impacts of Cloud Computing in Information Technology Industry

2014 ◽  
Author(s):  
Ediz Şaykol
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Virtual Machines ◽  
Information Technology Industry ◽  
Network Access ◽  
Configurable Computing ◽  
Capital Costs ◽  
Technology Industry ◽  
Economic Significance ◽  
Business Goals

Cloud computing, as defined by United States National Institute of Standards and Technology (NIST), “... is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.” Goal of the study is to highlight the positive economical impacts of cloud computing for companies, which can be assessed by focusing on their business goals to make more profit. Under the cloud computing model, firms can rent as many virtual machines as they need at any given time, and either design or use off-the-shelf solutions to integrate company-wide data and then easily distribute access to users within and outside of the company. Hence, cloud computing converts fixed capital costs to variable costs, prevents under or over provisioning, and allows minute by minute flexibility. Hence, the companies concentrate on their own business goals on top on a stable and effective information technology backbone. Most literature on cloud computing reside in computer science resources. However, there is little work focusing on the social and economic significance of cloud computing in the economics literature. Hence, this paper first discusses the basics of the cloud computing along with its implications on information technology (IT) field, with paying special attention to economical aspects. Then, empirical results and elaborations are to be given to yield a conclusion.

scholarly journals Analysis of Load Balancing Techniques in Cloud Computing

2005 ◽  
Vol 4 (2) ◽  
pp. 737-741 ◽  
Author(s):  
Amandeep Sidhu ◽  
Supriya Kinger
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Data Storage ◽  
Cloud Storage ◽  
Job Scheduling ◽  
Single Node ◽  
Computing Paradigm ◽  
System A ◽  
Share Data ◽  
Scalable Network

Cloud Computing is an emerging computing paradigm. It aims to share data, calculations, and service transparently over a scalable network of nodes. Since Cloud computing stores the data and disseminated resources in the open environment. So, the amount of data storage increases quickly. In the cloud storage, load balancing is a key issue. It would consume a lot of cost to maintain load information, since the system is too huge to timely disperse load. Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed. It helps in optimal utilization of resources and hence in enhancing the performance of the system. A few existing scheduling algorithms can maintain load balancing and provide better strategies through efficient job scheduling and resource allocation techniques as well. In order to gain maximum profits with optimized load balancing algorithms, it is necessary to utilize resources efficiently. This paper discusses some of the existing load balancing algorithms in cloud computing and also their challenges.

scholarly journals Secured Information Sharing in Mobile Cloud Computing using Access Controls

2019 ◽  
Vol 8 (12) ◽  
pp. 1559-1564
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Key Management ◽  
Mobile Cloud Computing ◽  
Perturbation Methods ◽  
Research Work ◽  
Mobile Cloud ◽  
Control Mechanisms ◽  
Mobile Environment ◽  
Access Controls

Presently usage of smart mobiles increasing, due to internet availability most of users outsourcing their data to cloud but it is untrusted, so a security mechanism needed in this work proposing Homomorphic cipher text policy-Attribute based encryption (HCP-ABE), it derived from classic ABE. “Mobile cloud computing are combinations of mobile computing and cloud computing”, mobile applications are designed and hosted in cloud computing without verifying about mobile environment. Security models are constructed using Perturbation methods as per literature. These models are not secure compared to cryptographic techniques. When perturbation methods are used, Data reconstruction becomes a significant challenge. Hence computations are complicated to perform. Furthermore, this method suffers a trade-off between accuracy and privacy and most of the research work focused on key management issues and static access policies but due to user dynamic the access control mechanism should design for proactive strategies. To support dynamic access control and operations HCP-ABE scheme intended. In this paper we identify challenges associated with mobile cloud-based security system and possible provide solutions to understand existing research work conducting compressive review on different access control mechanisms.

Session Hijacking Over Cloud Environment

2019 ◽  
pp. 1984-2013
Author(s):  
Thangavel M. ◽  
Pandiselvi K. ◽  
Sindhuja R.
Keyword(s):  
Cloud Computing ◽  
Random Number ◽  
Cloud Environment ◽  
Network Access ◽  
Configurable Computing ◽  
First Response ◽  
Enterprise Model ◽  
The Common ◽  
Session Hijacking ◽  
Collective Information

Cloud computing is a technology that offers an enterprise model to provide resources made available to the client and network access to a shared pool of configurable computing resources and pay-for-peruse basis. Generally, a session is said to be the collective information of an ongoing transaction. This package is typically stored on the server as a temporary file and labeled with an ID, usually consisting of a random number, time and date the session was initiated. That session ID is sent to the client with the first response, and then presented back to the server with each subsequent request. This permits the server to access the stored data appropriate to that session. That, in turn allows each transaction to be logically related to the previous one. Session hijacking is the common problem that is experienced in the cloud environment in which the session id is gained and information is gathered using the session ID compromising its security. This chapter covers session hijacking and the countermeasures to prevent session hijacking.

Impact of Technology Innovation

2019 ◽  
pp. 1409-1439
Author(s):  
Niranjali Suresh ◽  
Manish Gupta
Keyword(s):  
Cloud Computing ◽  
Cloud Service ◽  
Cloud Security ◽  
Security And Privacy ◽  
Network Access ◽  
Configurable Computing ◽  
Security Issues ◽  
Computing Paradigm ◽  
Security Compliance ◽  
Impact Of Technology

Cloud enables computing as a utility by offering convenient, on-demand network access to a centralized pool of configurable computing resources that can be rapidly deployed with great efficiency and minimal management overhead. In order to realize the benefits of the innovative cloud computing paradigm, companies must overcome heightened risks and security threats associated with it. Security and privacy in cloud is complex owing to newer dimensions in problem scope such as multi-tenant architectures and shared infrastructure, elasticity, measured services, viability etc. In this paper, we survey existing literature on cloud security issues and risks which then guides us to provide a section on auditing based to address the identified risks. We also provide a discourse on risk assessment frameworks to highlight benefits using such structured methods for understanding risks. The main contribution of the paper is investigation of current innovations in cloud computing that are targeted towards assisting in effective management of aforementioned risks and security issues. The compilation of discussed solutions has been developed to cater to specific cloud security, compliance and privacy requirements across industries by cloud service providers, software-as-a-service (SaaS) application vendors and advisory firms.

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