A Survey Paper on Security in Cloud Computing: A Bibliographic Analysis

2016 ◽  
Vol 1 (2) ◽  
pp. 19-23
Author(s):  
Krutika K. Shah ◽  
Vahida U. Vadiya ◽  
Rutvij H. Jhaveri
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Research Work ◽  
Research Trend ◽  
Process Data ◽  
Bibliographic Analysis ◽  
Computing Power ◽  
Survey Paper ◽  
Security Issues ◽  
High Level

Cloud Computing uses a network of remote servers hosted on the internet to store, manage and process data, rather than a local server or a personal computer. Cloud computing provides services on demand. In the recent time, Cloud Computing is highly demanded service because of the advantages like high computing power, less cost of services, high performance, scalability, reliability, accessibility as well as availability. To understand cloud security, there are referred high level publisher’s papers. For this review total 122 research paper of security issues in cloud computing till May 2016. For this paper included studied graphical and systematic review of various research work carried out on cloud computing. These findings show that the research in Cloud Computing received more attention over the past few years. There are referred high level publisher’s paper for better understanding about the security issues in cloud computing. This analysis would provide insights for researches, students, publishers, experts to study current research trend in cloud computing, helps to peoples for any issues about cloud computing.

A Study of the Cloud Computing Adoption Issues and Challenges

2020 ◽  
Vol 13 (3) ◽  
pp. 313-318 ◽  
Author(s):  
Dhanapal Angamuthu ◽  
Nithyanandam Pandian
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Cloud Service ◽  
Ease Of Use ◽  
Modern Trend ◽  
Security Issues ◽  
Research Areas ◽  
Data Location ◽  
Broad Classification

<P>Background: The cloud computing is the modern trend in high-performance computing. Cloud computing becomes very popular due to its characteristic of available anywhere, elasticity, ease of use, cost-effectiveness, etc. Though the cloud grants various benefits, it has associated issues and challenges to prevent the organizations to adopt the cloud. </P><P> Objective: The objective of this paper is to cover the several perspectives of Cloud Computing. This includes a basic definition of cloud, classification of the cloud based on Delivery and Deployment Model. The broad classification of the issues and challenges faced by the organization to adopt the cloud computing model are explored. Examples for the broad classification are Data Related issues in the cloud, Service availability related issues in cloud, etc. The detailed sub-classifications of each of the issues and challenges discussed. The example sub-classification of the Data Related issues in cloud shall be further classified into Data Security issues, Data Integrity issue, Data location issue, Multitenancy issues, etc. This paper also covers the typical problem of vendor lock-in issue. This article analyzed and described the various possible unique insider attacks in the cloud environment. </P><P> Results: The guideline and recommendations for the different issues and challenges are discussed. The most importantly the potential research areas in the cloud domain are explored. </P><P> Conclusion: This paper discussed the details on cloud computing, classifications and the several issues and challenges faced in adopting the cloud. The guideline and recommendations for issues and challenges are covered. The potential research areas in the cloud domain are captured. This helps the researchers, academicians and industries to focus and address the current challenges faced by the customers.</P>

Development and Achievements of SSM Processes for High Performance Components

2016 ◽  
Vol 256 ◽  
pp. 319-327 ◽  
Author(s):  
Mario Rosso ◽  
Ildiko Peter ◽  
Ivano Gattelli
Keyword(s):  
Industrial Development ◽  
High Performance ◽  
Rear Axle ◽  
Research Work ◽  
Industrial Applications ◽  
Alternative Methods ◽  
Front Suspension ◽  
Large Numbers ◽  
Automotive Parts ◽  
High Level

During the last decades under the enthusiastic and competent guidance of Mr Chiarmetta SSM processes attained in Italy at Stampal Spa (Torino) an unquestionable high level of industrial development with the production of large numbers of high performance automotive parts, like variety of suspension support, engine suspension mounts, steering knuckle, front suspension wheel, arm and rear axle. Among the most highlighted findings SSM processes demonstrated their capability to reduce the existing gap between casting and forging, moreover during such a processes there are the opportunity to better control the defect level.Purpose of this paper is to highlight the research work and the SSM industrial production attained and developed by Mr G.L. Chiarmetta, as well as to give an overview concerning some alternative methods for the production of enhanced performance light alloys components for critical industrial applications and to present an analysis of a new rheocasting process suitable for the manufacturing of high performance industrial components.

Users’ attitude on perceived security of enterprise systems mobility: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ramaraj Palanisamy ◽  
Yang Wu
Keyword(s):  
Cloud Computing ◽  
Best Practices ◽  
Empirical Study ◽  
Mobile Systems ◽  
Mobile Technologies ◽  
Content Type ◽  
Security Issues ◽  
Study Results ◽  
Perceived Security ◽  
High Level

Purpose This study/ paper aims to empirically examine the user attitude on perceived security of enterprise systems (ES) mobility. Organizations are adopting mobile technologies for various business applications including ES to increase the flexibility and to gain sustainable competitive advantage. At the same time, end-users are exposed to security issues when using mobile technologies. The ES have seen breaches and malicious intrusions thereby more sophisticated recreational and commercial cybercrimes have been witnessed. ES have seen data breaches and malicious intrusions leading to more sophisticated cybercrimes. Considering the significance of security in ES mobility, the research questions in this study are: What are the security issues of ES mobility? What are the influences of users’ attitude towards those security issues? What is the impact of users’ attitude towards security issues on perceived security of ES mobility? Design/methodology/approach These questions are addressed by empirically testing a security model of mobile ES by collecting data from users of ES mobile systems. Hypotheses were evolved and tested by data collected through a survey questionnaire. The questionnaire survey was administered to 331 users from Chinese small and medium-sized enterprises (SME). The data was statistically analysed by tools such as correlation, factor analysis, regression and the study built a structural equation model (SEM) to examine the interactions between the variables. Findings The study results have identified the following security issues: users’ attitude towards mobile device security issues; users’ attitude towards wireless network security issues; users’ attitude towards cloud computing security issues; users’ attitude towards application-level security issues; users’ attitude towards data (access) level security issues; and users’ attitude towards enterprise-level security issues. Research limitations/implications The study results are based on a sample of users from Chinese SMEs. The findings may lack generalizability. Therefore, researchers are encouraged to examine the model in a different context. The issues requiring further investigation are the role of gender and type of device on perceived security of ES mobile systems. Practical implications The results show that the key security issues are related to a mobile device, wireless network, cloud computing, applications, data and enterprise. By understanding these issues and the best practices, organizations can maintain a high level of security of their mobile ES. Social implications Apart from understanding the best practices and the key issues, the authors suggest management and end-users to work collaboratively to achieve a high level of security of the mobile ES. Originality/value This is an empirical study conducted from the users’ perspective for validating the set of research hypotheses related to key security issues on the perceived security of mobile ES.

scholarly journals An Examination on Cloud Computing Future, Privacy of Data and Possibilities

2019 ◽  
Vol 8 (6S2) ◽  
pp. 949-953
Keyword(s):  
Cloud Computing ◽  
Theoretical Basis ◽  
The Other ◽  
Security And Privacy ◽  
Research Trend ◽  
Computing Environment ◽  
Storage Virtualization ◽  
Security Issues ◽  
The Core ◽  
New Research

Cloud computing is the theoretical basis for future computing. All the global frameworks are now looking up to architecture which is purely based on cloud. Being the core of such a large web of network, it is important to consider the security aspects in a cloud based computing environment. This has resulted in a new research trend on the security issues of cloud. Cloud is a popular paradigm with extreme abilities and benefits for trending ICT environment. On the other end the major concern came in terms of security and privacy while adopting the cloud technology. This article is an effort to cover the challenges in fields like storage, virtualization and communication in cloud .Also it is a try to elaborate relevance of current cryptographic approach in order to increase security of cloud in ICT.

scholarly journals Cloud Computing Cloud Computing in Remote Sensing : High Performance Remote Sensing Data Processing in a Big data Environment

2021 ◽  
Vol 16 (6) ◽  
Author(s):  
Yassine Sabri ◽  
Aouad Siham
Keyword(s):  
Remote Sensing ◽  
Cloud Computing ◽  
Data Processing ◽  
High Performance ◽  
Large Scale ◽  
Processing System ◽  
Remote Sensing Data ◽  
Cloud Service ◽  
Intermediate Data ◽  
High Level

Multi-area and multi-faceted remote sensing (SAR) datasets are widely used due to the increasing demand for accurate and up-to-date information on resources and the environment for regional and global monitoring. In general, the processing of RS data involves a complex multi-step processing sequence that includes several independent processing steps depending on the type of RS application. The processing of RS data for regional disaster and environmental monitoring is recognized as computationally and data demanding.Recently, by combining cloud computing and HPC technology, we propose a method to efficiently solve these problems by searching for a large-scale RS data processing system suitable for various applications. Real-time on-demand service. The ubiquitous, elastic, and high-level transparency of the cloud computing model makes it possible to run massive RS data management and data processing monitoring dynamic environments in any cloud. via the web interface. Hilbert-based data indexing methods are used to optimally query and access RS images, RS data products, and intermediate data. The core of the cloud service provides a parallel file system of large RS data and an interface for accessing RS data from time to time to improve localization of the data. It collects data and optimizes I/O performance. Our experimental analysis demonstrated the effectiveness of our method platform.

scholarly journals HPC as a service: A naive Model

2020 ◽  
Author(s):  
Hamza Ali Imran
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Raspberry Pi ◽  
Computing Power ◽  
Commodity Hardware ◽  
Beowulf Clusters ◽  
History Of ◽  
Important Field ◽  
Special Expertise ◽  
Performance Computing

Applications like Big Data, Machine Learning, Deep Learning and even other Engineering and Scientific research requires a lot of computing power; making High-Performance Computing (HPC) an important field. But access to Supercomputers is out of range from the majority. Nowadays Supercomputers are actually clusters of computers usually made-up of commodity hardware. Such clusters are called Beowulf Clusters. The history of which goes back to 1994 when NASA built a Supercomputer by creating a cluster of commodity hardware. In recent times a lot of effort has been done in making HPC Clusters of even single board computers (SBCs). Although the creation of clusters of commodity hardware is possible but is a cumbersome task. Moreover, the maintenance of such systems is also difficult and requires special expertise and time. The concept of cloud is to provide on-demand resources that can be services, platform or even infrastructure and this is done by sharing a big resource pool. Cloud computing has resolved problems like maintenance of hardware and requirement of having expertise in networking etc. An effort is made of bringing concepts from cloud computing to HPC in order to get benefits of cloud. The main target is to create a system which can develop a capability of providing computing power as a service which to further be referred to as Supercomputer as a service. A prototype was made using Raspberry Pi (RPi) 3B and 3B+ Single Board Computers. The reason for using RPi boards was increasing popularity of ARM processors in the field of HPC

Application and Security Issues in Cloud Computing

2019 ◽  
Vol 8 (4) ◽  
pp. 3440-3443
Keyword(s):  
Cloud Computing ◽  
Research Work ◽  
Data Access ◽  
Data Recovery ◽  
Security And Privacy ◽  
End User ◽  
Data Confidentiality ◽  
Platform As A Service ◽  
Security Issues ◽  
Privacy Issues

Cloud computing is attaining a pace for resolving complex computing problems. It is basically an abstracted layer of technology which has three service models: Infrastructure as a Service (IaaS), (Software as a Service) SaaS and (Platform as a Service) PaaS, which provide infrastructure, software and a platform to end-user. On the contrary, there are lots of issues which include energy efficiency, cloud integrity, data recovery, backup, etc. Security and privacy issues like data confidentiality and integrity are the most critical ones. This paper highlights the security issues related to data stored and data access from back end (service provider). It collates each and every application related to cloud and available techniques to resolve some issues. Very less research work has been done on applications and security issues of cloud computing together. This article is an analysis of cloud computing applications and security issues as it is used to a great extent. In future this paper will help research community to grab information regarding applications and techniques to resolve the issues related to Cloud computing.

Biometric

Web Services ◽  
2019 ◽  
pp. 769-787
Author(s):  
Ajay Rawat ◽  
Shivani Gambhir
Keyword(s):  
Cloud Computing ◽  
Case Studies ◽  
Service Level ◽  
Security And Privacy ◽  
Service Level Agreements ◽  
Security Issues ◽  
Security Applications ◽  
High Level

Cloud computing lacks control over physical and logical aspects of the system, which imposes profound changes in security and privacy procedure; hence, it needs a high level of security. Currently, many researchers and developments are being done to provide client service-level agreements regarding security issues. These researchers are attracted towards biometrics and its security applications, since it is based on biometric traits, thus providing a high level of security. Due to biometrics' benefits and cloud advantages, the collaboration of cloud and biometrics have open up wide areas this field. This chapter discusses some case studies of integration of biometrics and cloud computing.

Privacy and Security Issues in Cloud Computing: A Survey Paper

2021 ◽  
Author(s):  
Doaa M. Bamasoud ◽  
Atheer Salem Al-Dossary ◽  
Nouf Mubarak Al-Harthy ◽  
Rudaina Abdullah Al-Shomrany ◽  
Ghaida Saeed Alghamdi ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Privacy And Security ◽  
Survey Paper ◽  
Security Issues

scholarly journals Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing

Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1029
Author(s):  
Anabi Hilary Kelechi ◽  
Mohammed H. Alsharif ◽  
Okpe Jonah Bameyi ◽  
Paul Joan Ezra ◽  
Iorshase Kator Joseph ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
High Performance Computing ◽  
High Performance ◽  
Large Data ◽  
Computing Systems ◽  
Computing Power ◽  
Product Delivery ◽  
High Level ◽  
Performance Computing

Power-consuming entities such as high performance computing (HPC) sites and large data centers are growing with the advance in information technology. In business, HPC is used to enhance the product delivery time, reduce the production cost, and decrease the time it takes to develop a new product. Today’s high level of computing power from supercomputers comes at the expense of consuming large amounts of electric power. It is necessary to consider reducing the energy required by the computing systems and the resources needed to operate these computing systems to minimize the energy utilized by HPC entities. The database could improve system energy efficiency by sampling all the components’ power consumption at regular intervals and the information contained in a database. The information stored in the database will serve as input data for energy-efficiency optimization. More so, device workload information and different usage metrics are stored in the database. There has been strong momentum in the area of artificial intelligence (AI) as a tool for optimizing and processing automation by leveraging on already existing information. This paper discusses ideas for improving energy efficiency for HPC using AI.

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