Benefits and Security Challenges of Big Data Analytics
DOI:
https://doi.org/10.55630/dipp.2023.13.16Keywords:
Data Security, Data analytics, Cultural and Scientific HeritageAbstract
Big data analytics is a powerful technique used by companies to secure their data. However, data security remains a significant challenge for cultural entities such as libraries and museums, as hackers can target database systems and gain access to sensitive information. This study examines the benefits and security issues associated with big data analytics and proposes a manual approach for analyzing data with application to digital presentation and preservation of cultural heritage. By providing insights into the strengths and weaknesses of big data analytics and exploring strategies for securing data, the goal of the research is to help organizations make informed decisions about their data management practices.References
Aditya D. M., & Youddha B. S. (2016). Big data analytics: Security and privacy challenges. In 2016 International Conference on Computing, Communication & Automation (ICCCA) (pp. 50-53). https://doi.org/10.1109/CCAA.2016.7813688
Ahmad, S., Yasin A., & Shafi, Q. (2018). DDoS attacks analysis in bigdata (hadoop) environment. In 2018 15th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 495-501). https://doi.org/10.1109/IBCAST.2018.8312270
Deli, M. S. M., Ismail, S. A., Kama, N., Yusop, O. M., Azmi, A., & Yahya, Y. (2017). Malware log files for Internet investigation using hadoop: A review. In 2017 IEEE Conference on Big Data and Analytics (ICBDA) (pp. 87-92), https://doi.org/10.1109/ICBDAA.2017.8284112
Elgendy, N., & Elragal, A. (2014). Big data analytics: a literature review paper. In Perner, P. (eds), Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2014. Lecture Notes in Computer Science (LNAI, volume 8557) (pp. 214– 227). Springer, Cham. https://doi.org/10.1007/978-3-319-08976-8_16
Wang, Y., Kung, LA., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change , , 3-13. https://doi.org/10.1016/j.techfore.2015.12.019
Zhao, Ch., & Ke, X. (2019). Discussion on the Introduction of the Third Basic Method of Management Accounting from the Perspective of Big Data. In Proceedings of the 2019 4th International Conference on Modern Management, Education Technology and Social Science (MMETSS 2019) (pp. 740-744). https://doi.org/10.2991/mmetss-19.2019.149