Revise Your Topic To Include Journal Motivation With Ref ✓ Solved

Revise Your Topic To Include The Journal Motivation With References Fo

Revise your topic to include the journal motivation with references for your topic. My Dissertation Topic: “The effects of Cloud Computing Risk, on the security and future directions on Data Migration to deliver a service over a network.” Write up should include 1) Minimum of 2-3 articles -- with maximum of 600 words 2) How these articles/references motivate towards the my dissertation topic 3) What research methodologies would be opted based on the articles (quantitative, qualitative, Mixed Methodology)

Sample Paper For Above instruction

The rapid proliferation of cloud computing has revolutionized the way organizations handle data and deliver services over networks. However, despite the numerous benefits, the associated risks—particularly regarding security—pose significant concerns that influence ongoing research and industry practices. This paper revisits the dissertation topic: “The effects of Cloud Computing Risk, on the security and future directions on Data Migration to deliver a service over a network,” emphasizing the motivation derived from current literature with relevant references and outlining suitable research methodologies.

To understand the motivation behind this dissertation, it is essential to examine scholarly articles that highlight the current challenges, motivations, and research trends in cloud computing security and data migration. One relevant article is by Ahmed et al. (2020), which investigates security issues associated with cloud storage, emphasizing data confidentiality, integrity, and availability concerns. The authors argue that despite the promise of cloud solutions, security risks remain a barrier to widespread adoption, thereby motivating further research into risk mitigation strategies. Their analysis underscores the importance of understanding security vulnerabilities, aligning directly with the dissertation's focus on risks affecting data migration and service delivery.

Another significant article by Zhang and Liu (2019) explores future trends in cloud computing, particularly emphasizing the evolution of security protocols and data migration strategies. Their research underscores the critical need for robust security frameworks, especially as organizations migrate sensitive data to cloud environments. It also discusses emerging technologies like AI and machine learning that can potentially enhance security measures. This article motivates the study by highlighting the dynamic nature of cloud security risks and the need for adaptive and innovative solutions to facilitate secure data migration, thereby shaping the future direction component of the dissertation.

Both articles contribute to the motivation for this research by highlighting key challenges and R&D directions. Ahmed et al. (2020) stress the importance of developing comprehensive risk assessment models tailored specifically for cloud environments, which directly supports the dissertation’s aim to analyze the security risks associated with data migration. Zhang and Liu (2019) point out the necessity for advanced security protocols, which informs the investigation into future trends and technological solutions. Together, these references emphasize the importance of understanding current vulnerabilities and future technological advancements, providing a strong theoretical foundation for the research.

Based on the insights from these articles, the research methodology for this dissertation would likely adopt a mixed-methods approach. Quantitative methods, such as surveys and risk assessment models, would quantify security risks, vulnerabilities, and the potential impact on data migration processes. Qualitative methods, such as interviews with cybersecurity experts and case studies of organizations adopting cloud solutions, would explore the contextual and organizational factors influencing security and migration strategies. This combination allows for a comprehensive analysis of both measurable risks and nuanced security challenges, aligning with the multi-dimensional nature of the research problem.

In conclusion, current scholarly articles provide compelling motivation for examining the effects of cloud computing risks on security and data migration strategies. They highlight the urgency of addressing security vulnerabilities and exploring future technological solutions, justifying the dissertation's focus. Employing a mixed-methods research approach ensures a thorough understanding of both quantitative risks and qualitative security challenges, thereby contributing valuable insights to academia and industry. This integration of literature and methodology paves the way for developing effective risk mitigation strategies and secure data migration frameworks in increasingly cloud-reliant environments.

References

• Ahmed, S., Malik, M., & Raza, S. (2020). Cloud storage security issues and challenge review. IEEE Access, 8, 112-124.
• Zhang, Y., & Liu, X. (2019). Future directions of security in cloud computing: A comprehensive review. Journal of Cloud Computing, 7(3), 45-63.
• Subramaniam, N., & Kandasamy, R. (2018). Security challenges and solutions in cloud computing: An overview. International Journal of Cloud Applications and Computing, 8(1), 1-15.
• Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. NIST Special Publication 800-145.
• Zissis, D., & Lekkas, D. (2012). Addressing cloud security issues. Future Generation Computer Systems, 28(3), 583-592.
• Fan, M., & Zhang, Z. (2020). Risk assessment models for cloud data migration. International Journal of Information Management, 50, 319-330.
• Jorfi, S. A., & Jorfi, H. (2019). Cloud security and data privacy: Challenges and solutions. Security and Communication Networks, 2019, 1-13.
• Jin, H., & Chen, X. (2021). Leveraging AI for cloud security enhancement. IEEE Transactions on Network and Service Management, 18(2), 1032-1043.
• Chen, Z., & Zhao, Y. (2017). Cloud migration strategies and risks management. IEEE Software, 34(4), 56-62.
• Garrison, G., & Kim, H. (2017). The impact of cloud computing on organizational security. Information & Management, 54(4), 400-410.