Information Goverance

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Running head: INFORMATION GOVERANCE 1

Information Governance Big Data: Annotated Bibliography (Milestone#2)

Kavya Shri Borra

University Of Cumberland

Information Governance

Big Data Information Governance

Noutoua, J. S. (2018). Data Security in the Age of Big Data in the Financial Industry [Ph.D., Northcentral University]. https://search.proquest.com/pqdtglobal/docview/2054013001/abstract/7CFF891B864547EDPQ/1

Noutoua in the dissertation speaks advantage of Big Data brings to Organization in terms of reducing Cost, enhancing Business Strategies and monitoring customers trends. Additionally, revenue can boost competitive tactics will be implemented on Products. Author raised need for enhancing Data security because more the data greater the risk in breaches. Noutoua presented report in dissertation paper about cost organization spends on Data breaches. Author in paper discusses compliance regulation and laws with reference to big Data. Gramm-Leach-Bliley(GLBA), Sarbanes-Oxley Act(SOX) and USA Patriot Act are few most followed regulation in Financial Industry. Summarizing key ideas, author discussed need to have security patch updates on regular bases to ensure organization firewall and individual workstation Network LAN/WAN are in same sync to avoid missing security updates. Also, Two Factor Authentication policy a Physical security mechanism to avoid breaches.

Jung, T. (2017). Ensuring Security and Privacy in Big Data Sharing, Trading, and Computing [Ph.D., Illinois Institute of Technology]. https://search.proquest.com/pqdtglobal/docview/1916576110/abstract/C41FEEA43ED6444DP/9

Jung offers detailed solution new issues emerged in Big Data trading Accounting. Customers try to deny sales to elude from taxes. Author in this paper explains mechanism/ protocol to identity dishonest customers. Author explores various algorithm to analyze individual without learning data Regression, K-Cluster and Support Vector Machine (SVM) are most explored algorithms. In the dissertation, Jung discuss idea of implementing secure authentication to cloud Environment. Attribute based Encryption is focused on providing privacy to cloud storage based on individual identity. Encryption is handled at both sender and receiver end. Idea is coupled with both Cipher and Key based policy. Overall paper speaks on enhancing authentication on cloud environment via access control.

Waters, T. J. (2016). The Internet of Things: Big data with big security concerns [M.S., Utica College].

https://search.proquest.com/pqdtglobal/docview/1796356856/abstract/1818A8ED51C0475DPQ/10

Waters in dissertation paper highlights flaw in Web interface security. Author in his finding revealed poor cross scripting coding and weak session management will expose user’s password providing ability for attackers to crack password. (Miessler & Smith, 2016) identified a loophole that allows attackers to read, alter and delete back end data only by replacing to a strong SQL Injection queries issue can fixed. Paper suggests that IoT devices need and purpose is mainly focused on Automation. Home-alarms , vehicles and Gear devices security research mechanism are weak needs a scope to improve .

Ashraf, T. (2017). Organizational Development and Big Data: Factors that impact Successful Big Data Implementations [Ph.D., Benedictine University]. https://search.proquest.com/pqdtglobal/docview/1914898646/abstract/C41FEEA43ED6444DPQ/10

Ashraf suggests in paper talks about Big Data in its most crude structure contains the vital fixings that can help Organization in expanding Value, improving productivity and maintaining its attention on conduct information for arranged change. There is a case to be made for Big Data's utilization in each industry from fund to promoting to instruction. Author provided use cases like Real time data coupled with predictive analytics will advance problem-solving capabilities and offer better insights to support decision-making.

Knapton, K. (2020). Exploring Mid-Market Strategies for Big Data Governance [D.I.T., Walden University]. https://search.proquest.com/pqdtglobal/docview/2445295647/abstract/29534FC6142946E6PQ/2

Author Knapton suggests in paper that Big Data expect changes to conventional security and controls that customary strategies for encryption separate in the high-speed and high-volume condition of large information examination, and execution and versatility begin to turn into an issue while applying contemporary encryption calculations to huge information with cutting edge security controls inside conventional framework frameworks.

References

Ashraf, T. (2017). Organizational Development and Big Data: Factors that impact Successful Big Data Implementations [Ph.D., Benedictine University]. https://search.proquest.com/pqdtglobal/docview/1914898646/abstract/C41FEEA43ED6444DPQ/10

Knapton, K. (2020). Exploring Mid-Market Strategies for Big Data Governance [D.I.T., Walden University].

https://search.proquest.com/pqdtglobal/docview/2445295647/abstract/29534FC6142946E6PQ/2

Miessler, D., & Smith, C. (2016, February 28). IoT Attack Surface Areas. Retrieved from

OWASP.org: https://www.owasp.org/index.php/OWASP_Internet_of_Things_Top_Ten_Project#tab=IoT_Attack_Surface_Areas

Noutoua, J. S. (2018). Data Security in the Age of Big Data in the Financial Industry [Ph.D., Northcentral University]. https://search.proquest.com/pqdtglobal/docview/2054013001/abstract/7CFF891B864547EDPQ1

Waters, T. J. (2016). The Internet of Things: Big data with big security concerns [M.S., Utica College]. https://search.proquest.com/pqdtglobal/docview/1796356856/abstract/1818A8ED51C0475DPQ/10