Journal of Network Security and Application - MyAssignmenthelp.com

Question: Discuss about the Journal of Network Security and Application. Answer: Introduction Background of the Research: Big data and cloud computing are two of the most advanced technologies that has evolved in the recent years. Big data is an effective way of managing large amount of data whereas cloud computing is the networking technology where data can be stored and accessed over the internet instead of hard drive of the users computer. Implementing big data technology in cloud computing network can boost a system. Big data analytics is one big advantage of using big data (Chen, Mao and Liu 2014). Combining the big data analytics with cloud can boost a business as it can make better analysis among the large amounts of data present in their system. Big data and cloud computing together is an ideal combination for a network. But there are several issues as well working with big data in cloud computing. Managing terabytes of data with the traditional way in big data is a big issue of big data in cloud computing (Albugmi et al. 2016). There are many security issues as well while dealing with big data. Over the world, almost 40 % of the businesses are experiencing ransomware attack. This research paper illustrates the concept of cloud computing and big data. This research paper also discusses all such issues and challenges that are related to big data in cloud computing. Some of the security challenges as well are elaborated briefly in this paper and how the combination of big data and cloud computing can be improved in future. Aim and Objective of this Research The main aims and objectives of this research are as follows: Find out the challenges of using big data in cloud computing. Summarize the relationship between big data in cloud computing. Analyze some solutions to mitigate the issues of big data. Analyze the future scopes of big data in cloud computing. Research Questions The questions that are associated with this research paper are as follows: What is the relationship between big data and cloud computing? What are the challenges of big data implementation in cloud computing? What are the security issues with big data? What are the solutions to mitigate the issues? What are the future scopes of using big data with cloud computing? Problem Statement Implementing big data in cloud computing have some loopholes like security and privacy issues. The effective management of such huge amount of data may create a lot of issues for cloud network providers. The velocities and different varieties of data can be very difficult to store and maintain which might create huge problems for the users. Moreover transferring such enormous volume of data into cloud network can take a long time and can be unsafe which can result in data loss and data breach. Literature Review Introduction According to Dagade et al. (2015), the big data is considered as the main innovation force that comes across the corporations and the academics. It is very important to understand the insights that are from the big datasets that provides information over data loads. The concept of big data and cloud computing is a hot topic in this digitization era and is considered to be very popular in the coming years. Big data stores as well as processes huge amount of scientific datasets. Big data as stated by Khoshkholghi et al. (2014), is a technology that helps in managing data that is too large, diversified, and fast changing. With increase in volume of data in almost all the organization, it has become very difficult to manage these data in real time (Fernndez et al. 2014). Using big data helps the organization to improve their customer satisfaction by adding product preference according to their past preferences; it adds more security in preventing cybercrimes and so on. (Peng et al. 2015) stated that Cloud computing is a service provided to the users, where the software and applications of the users system are maintained by some third party vendors through internet. Introduction of cloud computing has benefited a lot for accessing and managing applications through internet (Chandrasekaran 2014). It provides a facility of pay-as-you-go model which is very useful for the users (Hsu, Ray and Li-Hsieh 2014). It has cut down the cost of installing and managing software and applications, has reduced the time needed to access these software and finally security of data has been enhanced. Big data in cloud computing solves many issues that are related to data of high volumes. But, there are some issues as well that are related to big data analysis. Amount of data keeps on growing day by day keeping all the data cost-ineffective. There should be policies created by organizations (Rittinghouse and Ransome 2016). Big data does not have such policies and expiration date of the data governance. Lots of data are involved in big data with cloud computing that comes from different sources. The issues that arise in big data are the problem of heterogeneity. Another challenge that big data in cloud computing face is the security issue which is one of the most important issues related to big data. When data are uploaded on the cloud in an organization, there come many issues regarding the security of the data (Yigit, Gungor and Baktir 2014). There should be some agreements to mitigate these security issues. The third issue that is related with big data is the privacy of keeping the data safe. Relationship between Cloud Computing and Big Data Big data exploits shared storage technology located on cloud computing network instead of using local storage which is attached with a system. Big data interpretation is directed by cloud network applications which are developed using virtual technologies (Jagadish et al. 2014). In short, cloud computing help as service model for big data technology along with providing facilities for its processing and computing. The cloud computing network can be an efficient stage for addressing the storage of data needed to start functioning of big data analysis (Jin et al. 2015). Cloud computing network is referred as a new system for arranging the infrastructure for computing and big data application method for all resource present in the cloud by analyzing data. But most of the cloud networks need to adjust with the big data technology for its complicated process of implementation. Example of using big data in cloud networking are MapReduce, Bollier and Miller (Li et al. 2014). Despite of incr easing demand of using big data and cloud computing technology together, but using these can put the companies in some risks and dangers. Big Data Issues2.3.1 Security Issues There are many security issues that are involved in big data. Data are uploaded in the cloud by organizations. There should be security given to the data that are used in the cloud of the organization. There should be questions regarding the data like the real user of the data, where the data is saved, and the persons who have access to the data (Hashem et al. 2015). Security is considered as one of the most important aspect of big data. The clients of the cloud provider upload their data in the cloud for keeping the data safe in the cloud. If there is no security given to the data, then no businesses will depend on the cloud provider for data storage. Privacy Issues There should always be a privacy regarding the data that are stored in the cloud. Storing a large number of data in the cloud alerts the privacy of the data that are stored. There are several privacy concerns that are related with the big data. Protecting the data and ensuring the data security is very difficult for the cloud provider (Inukollu, Arsi and Ravuri 2014). The data that are analyzed in the cloud are mainly the medical records, records of supermarkets, energy consumption, and many more. The information that is stored in cloud is mainly exposed to raising concerns regarding profiling, exclusion and loss of control over the data. Even if the data are anonymized, the data can still be re-identified and also attributed to specific individuals (Assuno et al. 2015). The data protection laws and the privacy data laws are improvised on the information and also on the principles of data and the main purpose for the limitation and minimization the data that are being collected for t he privacy of the data. There should be improvement on the privacy of the system because the cloud store huge amount of data every day. Heterogeneity There are big amount of data that are stored in big data of the cloud. All the data that are stored usually has different velocities. The data that arrives mainly comes at different rates depending on the rate of output and the network latency (Puthal et al. 2015). The data are also of different variety. Heterogeneous amount of data comes from different autonomous sources. The major aspect of characteristics of big data is the variety. Data that comes to the DBMS of the cloud mainly has different formats and velocities (Lu et al. 2014). All the collectors of data uses different schema or protocols for recording the data. To deal with such different kinds of data is a very difficult task for the system of big data. The privacy issue should be solved by the cloud provider of big data. Data Governance The hardware that is needed to store the data is much low cost, but the cost of Data Base Management System (DBMS) of big data is not as low cost as of the hardware of the big data storage. There is a cost of infrastructure maintenance of the system, software license, and energy. All the expenses together form a large amount of money for implementing the big data in cloud computing (Bahrami and Singhal 2015). So, the data governance created some policies which mainly define the time that the data will be viable in the system. The organizations should enable the practices and the policies about how to maintain the data in the cloud. There are structural practices, operational practices, and relational practices that are done by the companies to mitigate the issues. Other Problems There are other problems as well that challenges big data of cloud computing. There is a big issue in transferring the data on the cloud. The transferring process is too slow. The organizations have to select physical hard drives to make the process fast. Another problem is exaflop computing. All the systems in this time can deal with petabytes of data. There are lots of concerns in dealing with exabyte of datasets. To analyze Exabyte of data, the cloud needs to be much improved and analyzing should be done to mitigate those problems. The cloud should be elastic and scalable so that the organizations feel flexible to deal with the data in cloud. Research Methodology Data collection method: It is the method for collecting and measuring data captured from sources which are reliable in a systematic manner. The primary data will be collected from surveying the organizations in Australia who have implemented big data on their cloud network and further the cloud provider will be surveyed who have implemented big data of the users in their cloud network. More data will be collected from the organizations that are yet to implement this method. The collected data will be sampled according to the reviews received. The secondary data will be collected from the online sources available on these organizations and cloud network provider. Data analysis method: Data from the completed survey will be entered into a database for analysis. Those data will be analyzed by maintaining an excel report and will be compared analyzing data of other organizations and the network provider. Then further research will be done on the basis of that. Research will be conducted on the collected secondary data and will be verified from other sources. The purpose of analyzing the data is to obtain the result about views of employees and employers on use of big data in cloud technology. Conclusions After summarizing the research proposal, it can be stated that, implementing big data technology in cloud networking can be very useful for all the organizations that requires volumes of data for their business operations. But first of all the organizations have to mitigate the issues that are related to big data involved in cloud computing. The data collection and analyzing process discussed here would also help the researcher to resolve the business issue regarding this method. The estimated time required to complete the research has also been provided which will help in further progress of the research. Time Horizon Major Stages or activities Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Topic Selection Primary Data collection Creating layout Literature review Research Plan Formation Appropriate Research Technique Selection Analysis and Interpretation of Data Collection method Data Findings Conclusion of the Study Rough Draft Formation Final Project Submission Future Scope With the increase use of big data and cloud computing, combination of both these technology can be very useful if all the problem issues are eliminated. To make the effective use of big data technology, the most important necessity is to improve the data security within cloud computing network. The cloud service provider should ensure they have strong network security to prevent any shorts of unauthorized access in the data of any users. They need to have strong disaster management system to protect or backup the data in case if any issues. For this, they need to have 24*7 support system for all the users. The data transfer should be made fast and reliable for avoiding any kind of troubles. With advancement in big data technology, more amounts of data are being accessed at real time and the forthcoming threats are being protected by accessing the past issues of a user. Adding this usefulness with low costing cloud networks can benefit all the organizations as well as the cloud servic e providers. In the upcoming years, most of the organizations might choose the path of implementing big data with cloud computing and this can change the way an organization works and further make their business process a lot easier. 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