Information Goverance

Professor’s Feedback :

Good literature review, remember it is important you continue to work on your APA in-text citations. Also you didn;t list all 10 references.

Big Data Technology: A Literature Review (MileStone#3)

Kavya Shri Borra

University Of Cumberlands

Information Governance

2. Literature Review

2.1 Chapter Introduction

This chapter provides a survey of scholarly sources that focus on Big Data technology as a solution to Cloud-cyber-attacks. Various reviews and studies have been conducted how big data is leveraged in various Cloud and other application across. Big Data technology is widely embraced in organization owing to its Architecture prospects. Authors have been raving features of adopting Big Data technology and its ability to handle huge Structured, Unstructured and Semi Structured Data. Additionally, economic standpoint so much can be achieved in terms of Data Discovery, sharing and privacy of application. As part of Big Data Technology lifecycle three essential stages Data generation, Storage and Processing. Drilling down on Data generation this phase adds encryption to all the data. Encryption can be on Identity Based Encryption (IBE) Attribute Based Encryption (ABE) and Storage based Encryption. Processing Phase on other hand is governed by three mechanisms Classification, clustering and Association Rule mining-high speed is achieved in these phases. The literature addresses the stated research problem: how Big Data integrity, processing capabilities is enhanced, and vulnerabilities be identified beforehand and prevent breaches in Banking Industry.

2.2 Big Data Application Security Challenges Implementation

Author (Noutoua, 2018) in his article “Data Security in the Age of Big Data in the Financial Industry” discusses Threats and Vulnerabilities that emerged while implementing Big Data. Key area includes hacking, malware, software and physical security. In the research, the author identified that Big Data technology has been viable in integrating with other new Technology. Based on (Sutton & Austin, 2015) observations, serval tools of Big data like HyperRESEARCH, Ucinet, and MAXqda were evaluated and compared. Software changes contribute to hiccups in production.

According to Noutoua (2019), Security patching and Software changes have been painful transition to Network administrators. Additionally, network admins bypass additional security standards and to test new security systems within Organization is crucial. Storage is key in maintaining huge financial organization. Financial data servers are sophisticated, despite all the security protocol hackers try to infiltrate server. Author (Thayananthan & Albeshri, 2015) highlighted that hackers often tend to target banking data since data has card information and Individual information.

Author (Connelly, 2016) points-outs, user related security incidents puts banking in a sinking position. Some instances like Virtual Private Network (VPN), Virus, Phishing e-mails and Social engineering are spoil productivity. Higher Enforcements have stronger role to implement new policies on firewall, Workspaces practices and Regulations like Gramm-Leach-Bliley Act (GLBA), Sarbanes-Oxley Act (SOX) and Payment Card Industry Data Security Standard (PCI DSS) which are closely monitored by FDIC banks.

2.3 Conclusion

From the above literature review, it is evident that software changes impact Big Data security solution. As per Author Noutoua (2019) analysis, there is constant changes on software front which becoming extremely challenging for network admin to keep track. Whenever threats are identified, virus /malicious attacks are recovered.

References

Connelly, L. M. (2016). Understanding Research. Trustworthiness in Qualitative Research.

Medsurg Nursing, 25(6), 435-436.

Noutoua, J. S. (2018). Data security in the age of big data in the financial industry (Order No. 10824619). Available from ProQuest Dissertations & Theses Global. (2054013001). Retrieved from https://search.proquest.com/docview/2054013001?accountid=10378

Sutton, J., & Austin, Z. (2015). Qualitative research: Data collection, analysis, and management. The Canadian Journal of Hospital Pharmacy, 68(3). https://doi.org/10.4212/cjhp.v68i3.1456

Thayananthan, V., & Albeshri, A. (2018). Big data security issues and quantum cryptography for cloud computing. International Journal of Computer Applications, 180(34), 22-28. https://doi.org/10.5120/ijca2018916876