Addressing Cloud Security Computing Issues -Myassignmenthelp.Com

Question: Discuss About The Addressing Cloud Security Computing Issues? Anawer: Introduction: Big Data is considered to be very much important for the IT world. For this reason, the Big Data cannot be overlooked in the IT world. The main reasons which lies behind this is the prominent increase in the data along with the services that are related with this data. So it becomes increasing important to explore this field along with looking into the matter of improving the ways of Big data analysis especially in the clouds (Purcell 2014). These two key aspects are the big data and the cloud computing. The Paper An Evaluation of Major Threats in Cloud Computing Associated with Big Data by Kamalpreet Kaur, Ali Syed, Azeem Mohammad, Malka N. Halgamuge states that most of the organisations relies on the power of the databases. And when the organisations outsources their database in the form of big data then they transfer all their data to the cloud (Hashem et al. 2015). The paper also indicates that the security challenges act as one of the most prominent issues related to the cloud c omputing and big data. Some of the major issues related to big data were also observed in this paper. The paper also indicates that due to various security threats clouds are not getting adopted on a larger scale despite of the presence of various advantages. The data sources have been analysed in this paper which helped a lot in identification of the gaps. The report provides the necessary solutions for the issues related to the analysis of the big data in the cloud. Literature review: A very important role is played by the big data in the world of business. this is due to fact that storing of the complex data in a secure way is one of the crucial aspects of the corporate operations. Big data refers to the huge amount of data in the structured, semi-structured, and unstructured form (Ji et al. 2012). There are 3Vs in the Big data and this mainly includes the high volume of data, high velocity of data and high variety of different types of information that are in need of getting mined. But the specific quantity of data is not mentioned anywhere, and the data can be in petabytes or Exabyte (Demirkan and Delen 2013). Peter Skomoroch stated that it was not possible to process the big data due to the difficulty, proneness to errors, and large time consuming nature of the data. This was difficult before the invention of the various data technologies like the MapReduce and Hadoop. These new technologies have greatly helped in the processing of the datasets than the tradit ional processing tools. There are many organisations which are associated with the collection of the complex data. This data is collected by the doing the worldwide surveys so as to improve the process of decision making that are extremely important for the sustaining of the healthy future for the organisations business process (Fernndez et al. 2014). It can be stated that there are various security challenges which comes up with the use of the clouds. Analysis of The Outsourcing Data and The Applications: Cloud computing is something which is capable of providing access to the data present in the clouds anytime anywhere. But the challenge remains that is checking of the authorized entities (Inukollu Arsi and Ravuri 2014). The significant challenges arising due to the monitoring of the clouds and many more results in the suffering of the cloud computing in reaching its full potential. So the users have to rely on the third part and the cloud providers for the purpose of making their data secure along with maintenance of the communication related to the reliability with the customers. When a user is making use of the cloud for the purpose of making decisions regarding the complex data and the platforms then it might seem that there is no other computing which has been done here (Demchenko et al. 2012). This happens due to the fact that there is no existence of any technical mechanism for the prevention of the accessing the data of the users unethically by the cloud providers. So the sig nificance of building up a new layer increases for the purpose of supporting a contractual negotiation phase between the providers of the cloud and the end-users. So it can be concluded that there is an essential need for the combination of technical as well as non-technical mechanism for the purpose of gaining the trust towards the use of the cloud computing environment. Analysis of The Security and The Privacy Challenges: Cloud computing consists of a service level agreement which is a contractual agreement used for the building up of new layers for the purpose of supporting a contractual negotiation phase. This phase mainly exists between the cloud customers and the cloud providers. Still the difficulty of bargaining remains regarding the security, privacy, as well as the trust (Zissis and Lekkas 2012). Despite of all this there are still some ways in which can be used for the purpose of assuring the customers. This assurance is mainly given for the purpose of making the customers understand that the cloud service providers provides services which is subjected to the contractual agreement initially this makes the process difficult. Access control: The need of credential based access control is increasing in cloud computing. The main reason for the existence of this for the accessing the control and the services so as to make sure that the important as well as the provenance information of the customer does not get leaked (Hashizume et al. 2013). Trust management: There are various way of managing the trust with the customers. there is an essential need of building up new policies for access control (Chen and Zhao 2012). This should be done instead of telling the customers that their data will never get breached for the purpose of management of the trust among the customers. Authentication and identity management: The main reason lying behind the use of identity management is for the purpose of determining an authenticate user along with the services (Ren Wang and Wang 2012). This is mainly based upon the credentials and the characteristics of the users. Privacy and protection of the data: Among the discussed challenges privacy is one of the biggest issue. There are many organisations which are not comfortable with the storing of their confidential data outside their premises. By use of the outsourcing data shared infrastructure, there is a risk of putting the customers background information at risk (Almorsy Grundy and Mller 2016). This is mainly used for various purposes and this mainly includes the auditing, tracing back along with the historically based access control. Along with this it also shows the balance that exists between the personal information of the client and the privacy. This is one of the biggest drawback that exists in the cloud environment. Analysis of the method and the material used in this paper: The research method that has been used in this paper for the purpose of interpreting the trends of the data sourced is by analysing the contents. This analysis is mainly done so as to find out the various proceedings along with measuring the processes so as to assist in the solving of the perplexing and the complex issues (Ryan 2013). A historic logic method has been used in this research. This will be greatly helping in assisting the interpretation of the findings regarding the security matters in the cloud computing that has discovered in the previous researches. By the process of evaluation of the gathered information and opinions form the experts has greatly helped in the study so as to shed a light in the area of cloud computing for further developments. Analysis of the Results: The results help in concluding that there are various domains in the cloud environment and these domains faces various security as well as privacy challenges. For this reason, there is an essential need for the users to thing before migrating their data to the cloud (Srinivasan et al. 2012). The challenges regarding the security can be categorised into various type and this includes the network level, data level, authentication level and many more. The major concern beside all this is the security of the sensitive information. For the purpose of enhancing the security it is becomes necessarily important to provide the access control along with the authentication and authorisation of the data that are to be stored in the clouds. CIA or Confidentiality, Integrity and Availability are the three major elements involved in the information security (Behl and Behl 2012). Along with this it should also be ensured that these three elements are being provided to the customers by the cloud prov iders. The paper also provides a figure which shows that the level of integrity is 24%, level of confidentiality is 31% and the level of availability is 19%. This results to be most threatening attributes when compared with the other attributes. The other attributes mainly include the usability, accountability, security and reliability. The biggest risk included in cloud computing are the security of the data, integrity and recovery. Along with this it is also important to know about the location in which the data is being stored and what are things that are being done with the stored data (Ali Khan and Vasilakos 2015). Besides all this it is also important to know what will happen if the cloud fails and if the data are being backed up or not. Third party networks are used by the cloud computing technology for the purpose of accessing the cloud services. This gives arise to various risks while accessing the services in the clouds. The users need to compare the various cloud services before moving into the cloud. The cloud services are becoming much more popular as they are much more convenient along with being affordable and provide a space for storage. Along with the above discussed issues there are also various attacks to the cloud system. This attacks mainly includes the loss of data, denial of the service, unauthorized access to the data, unauthorized modification and many more. According to Bleikertz et al. (2010) there are various advantages of using the cloud computing and this advantages are followed by the various challenges like the security, privacy and the security. This are the main reason due to which the adaptation of cloud computing has been prevented. The paper also expresses the fact that they are highly adoptable. Along with these the complex cloud computing administrations are arranged by making use of the web utilization by the clients or the cloud customers. The paper also states that in case of any wrong designing of the cloud computing by the customers increases the vulnerabilities regarding the security issues (Rao and Selvamani 2015). A particular methodology has been used in this paper so as help the audie nce in understanding the issues that might arise from the side of the user and the server. The main strength of the work done by this paper is that it provides a robust analysis of the various vulnerabilities along with the security attacks. Initially this analysis will be helping the vendors in the enhancing various security policies. Lombardi et al. (2010) discussed about a new architecture and transparent cloud protection system (TCPS) for the purpose of improving the cloud resources security due to the protection problems integrity in the cloud environment. It was also guaranteed by them that they have been able to identify the problems related to integrity protection along with addressing the issues related to integrity. They have also proposed a framework in which the TCPS can be utilized for the purpose of watching the integrity of the visitor along with keeping of honesty and virtualization. For the purpose of managing the image system in TCPS, the image filters have been used by them along with the scanners so as to detect the malicious image in order to prevent t hem from vulnerabilities and the security attacks. The main strength of the work done by Lombardi et al. is that it has proposed instrument that provides an enhanced rate of security, transparency and interrupt identification system. Along with this the limitation of this work is that they have not tested it to an expert cloud computing situation nor they havent accepted their work. Method for the Solving of problem: Some of the suggested method related to the solving of the issues during the use of big data in the clouds are listed below: Shipping of the Disk Drives to the Clouds: The problems related to problems in the plumbing can be solved by shipping the disk drives to the cloud environment. This will be helping a lot. Use of Data Mining techniques: The problem related to the malware diffusion can be tackled by making use of the data mining technique. This technique will greatly help in the identification of the malware in the cloud and eliminate the treats by the cyber criminals which happens to be a threat regarding the security and privacy of the customers (Bhadauria and Sanyal 2012). Use of the Access Control Techniques: For the purpose of securing the infrastructure of the big data systems there is a need of securing the distributed computation as well as the data stored. For the purpose of securing the data itself the information dissemination should be preserving the privacy along with this the sensitive data should be also protected by the use of cryptography and granular access control techniques (Modi et al. 2013). Enormous volume of the data necessities needs to be managed which are scalable along with the enabling of the efficient audits as well as the data provenance. Modelling: There is a need of validating the threat models which will be mainly covering the various types of cyber-attacks or any kind of data leakages which are mainly caused by the cybercriminals. Possible solutions: After the formalization of the threat model there is an essential need of finding the tractable solution. Implementation: The solution that are found out are to be implemented in the existing technologies and the infrastructure which will be initially followed by the comparison of the solutions with the different types of threat models. Different evaluation criteria for addressing the Security of the Big Data: After analyzing the security challenges related to big data the following solutions can be applied so as to eliminate all the risks. Some of the solutions are listed below: One of the major thing that is to be included in the new security solution is the extension of the secure perimeter of the big data from the enterprise to the public cloud (Puthal et al. 2015). By adopting this method, a new trustful data provenance mechanism will be created that will be initially helping in the mitigation of the risks related to the DDoS attacks which are mainly launched against the infrastructures of the big data. There is a mandatory need of addressing the legal requirements by the mechanisms regarding the handling of the data. One of the best way of securing the big data is by the implementation of the secure Information technology. This encryption technology is mainly used for the purpose of securing the confidential data and this might include the PII, PHI, IP along with various encryption keys and many more (Arora Parashar and Transforming 2013). This need to be done so as put the correct locking and unlocking mechanism for the data. For this process to become successful there is an essential need for making this mechanism transparent to the end-user along with having a low impact of the performance and scalability of the data as well. Beside the security recommendations there is an essential need for considering the security of the IT infrastructure itself. The common practice regarding the security includes placing of the security controls at the very edge of the network. In case if the security perimeter is violated by the attacker then all the data present inside will be accessed very easily (Ahmed and Hossain 2014). This leads to the need of new security measures which can be done by moving the security controls near the big data. By proper monitoring, analyzing and learning of the usage of the data along with the access which is one of the important aspect for the continual improvement of the security of the infrastructure that is holding the data. This will also leverage the security measures that are existing right now. Conclusion: This report helps a lot in identifying the various gaps along with the various security challenges that are related big data in the clouds. The report also helps in understanding the fact that cloud computing is one of the emerging technology which is being adopted by various organizations. This organizations design and develop their system for the purpose of stay ahead in the market of competition. Besides the security challenges there are also other technologies that are very much problematic and this includes the database, networking, virtualization and also the operating system as well. This paper has used different studies for the identification of the major problems related to the research. Along with this it also helps in identifying the major things that are to be taken into account so as to make sure that the big data are being moved toward the success. The report also helps in concluding that in the Relational Database Management RDBM the problem regarding the protection of the system from any kind of attack by making use of the resources along with which the only one important problem is the mitigation of the risks. Various mitigation problems have been discussed in this report and by the adaptation of this methods a great amount of risk will be eliminated. References: Ahmed, M. and Hossain, M.A., 2014. Cloud computing and security issues in the cloud.International Journal of Network Security Its Applications,6(1), p.25. Ali, M., Khan, S.U. and Vasilakos, A.V., 2015. 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