Detection of DDoS Attack in Cloud Computing and its Prevention: A Systematic Review
Awareness of Cloud Computing among the Prospective Teachers in the Modern World
Enhancing Replica Management in a Cloud Environment using Data Mining Based Dynamic Replication Algorithm
Elasticity in the Cloud Related to Database Autonomies and Scalability
Cloud Computing Rising in the Field of Big Data and Artificial Intelligence
A Comprehensive Review of Security Issues in Cloud Computing
An Extended Min-Min Scheduling Algorithm in Cloud Computing
Data Quality Evaluation Framework for Big Data
An Architectural Framework for Ant Lion Optimization-based Feature Selection Technique for Cloud Intrusion Detection System using Bayesian Classifier
Be Mindful of the Move: A Swot Analysis of Cloud Computing Towards the Democratization of Technology
GridSim Installation and Implementation Process
Genetic Algorithm Using MapReduce - A Critical Review
Encroachment of Cloud Education for the Present Educational Institutions
A Survey on Energy Aware Job Scheduling Algorithms in Cloud Environment
Clustering based Cost Optimized Resource Scheduling Technique in Cloud Computing
Until now, industrial frameworks had durable life cycles and have been out for a few years now. Nevertheless, in the most recent two years, an inexorably quick pace of progress has been seen in Africa, for the most part in view of reception of developing Web ideas, advances, devices, and systems. In response to this observation, the point of this article is to quickly display parts of the developing time of the fourth Industrial Revolution (4IR). It shed some light on the Fourth industrial insurgency to be another buzz thought in Africa. This article examines the industry 4.0 in connection with the emerging markets of Africa. In addition to the above, the perspectives exhibited here may initiate tradeoffs on the various qualities that the fourth Industrial Revolution brings to the table for the emerging markets of Africa and, the author hopes that the ambiguity of the terminology will not hinder the effort.
Cloud Security is an important factor that influences the adoption of cloud applications into bank domains. Many researchers proposed secure authentication mechanisms based on the traditional factors, biometric factors, captcha and certificates etc. This paper proposes a biometric handwritten signature recognition using Deep Convolution Neural Networks (DCNN). The proposed model uses signature as a biometric factor to verify the authenticity of the users along with traditional credentials. The extraction of the features are performed using DeepCNN model in the registration and verification process. The practical setup is done through NIVIDIA DGX environment using Python keras and tensor flow as backend. An experimental result shows 99% of accuracy and validation accuracy.
Data or any kind of information is an important resource. Storing the data and securing it is one of the main concern of nowadays. Everyday, the industry is dealing with major privacy issues. The common user want a solution for these issues so that they can protect their data from third party or from any kind of data hacking; And this problem is solved with the involvement of cloud technology. Nowadays, everyone is familiar with cloud environment and cloud environment has also ruled over the market whether anyone from technology side or non-technology somewhere is storing their data on cloud; Because storing data into memory is also a very tedious task and even requires lots of maintenance. So, everyone is bound to store data in cloud storage to free from these burden. Blockchain has recently emerged as fascinating and innovative technology to face data integrity problems in the environment like cloud. In this literature, usability of Blockchain in cloud has been discussed and shown how it can be used to make cloud more secure. Major threats have came to an end after the participation of technology like blockchain.
Innovations in technology have a prominent role in our day to day life. In recent era, the technological inventions have great influenced the educational sector. It makes the teaching, learning process easier and powerful. The influence of technology in higher education is more widespread. Research is an inevitable part of higher education. Technological advancement is also reflected in educational research. Innovations are necessary to ride the inevitable tide of change and Cloud Computing is the recent and hot area of innovative technological development in the field of educational research. Cloud Computing is becoming a popular technology in the field of educational research with its flexibility and versatility in the use of resources. The potential of Cloud Computing in educational research is immense. But compared to commercial and banking sectors, the use of the technology is lags behind in educational sector. Though, the significance of Cloud Computing in different areas has been emphasized in a lot of studies, not many studies could be found focusing on the use of Cloud Computing in educational research in India. This study is a humble initiative to make a small contribution to fill this gap. This paper makes an effort to analyze the scope, concerns and future implications of Cloud Computing in educational research in India. The method adopted is a grouping of library and internet research.
Mobile networks have gone through various stages of evolution with each stage aimed at addressing a wide range of challenges and limitations. During the early evolutions of mobile networks 2G, 2.5G, 3G are the key challenge to investigate in efficient and cost effective ways to delivering high data speeds. This has led to the proposals and development of 4G LTE networks based on a flat all-IP architecture with Internet based protocols. However, recent trends indicate that the Internet-like architecture on mobile networks has further enabled Internet based cloud service providers to provide Over- The-Top (OTT) applications to mobile devices bypassing, and competing with the mobile operator on services, such as voice, video, messaging, and gaming. This is a key motivation for cloud service providers and mobile operators to explore various opportunities in which they can both leverage on their existing infrastructures in order to efficiently deploy cloud services in mobile environments. In this paper, we study the challenges and limitations that constrains the efficient deployment of cloud services in mobile environments. Then we propose a collaborative approach in which the cloud service provider, and mobile operator can dynamically manage the underlying mobile network infrastructure resources to optimise the delivery of cloud services in mobile environments. This is achieved by using cloud management approaches with the ability to factor such as mobility and frequency spectrum of mobile resources while integrating the cloud service provider, and mobile operator cloud infrastructures.