A Review on Big Data Analytics between Security and Privacy Issue


  • Renas Rajab Asaad Department of Computer Science, Nawroz University, Duhok, Kurdistan Region - Iraq
  • Nisreen Luqman Abdulnabi Technical Collage of Administration, Duhok Polytechnic University, KRG - Iraq




Big Data, Privacy Issue, Cyber Security, Data Science, Analysis


Because of technology, a large number of portable devices, and the great use of networks and the need for them in education, industry, and politics. This widespread has led to the emergence of a huge amount of data, and securing this data has become a very important matter. Big data refers to a very large number of data collected from different sources, this huge amount of data gives us deep insight and the benefit of this is to improve the decision-making process and thus lead to better customer service. Securing this huge amount of data (big data) is very difficult. Because of the large number of data and the continuous flow of this data that's come from different sources. Big data is a term that refers to a large, diverse, and complex amount of data. Big data analytics is a sophisticated and advanced technology used to analyze large, different, and diverse data in order to understand this type of data. However, there are many issues when using and analyzing big data, including the problem of security and privacy. This paper focuses on security and privacy problems and focuses on the biggest privacy issue Big data. The aim of this paper is to study the aspects of security and privacy and to make a comparison of the most important data security methods and the biggest privacy issues.


Download data is not yet available.


Khan, M., & Ansari, M. D. (2019). Security and privacy issue of big data over the cloud computing: a comprehensive analysis. IJRTE-Scopus Indexed, 7(6s), 413-417.

Jain, P., Gyanchandani, M., & Khare, N. (2016). Big data privacy: a technological perspective and review. Journal of Big Data, 3(1), 1-25.

Asaad, R. R. (2021). Penetration Testing: Wireless Network Attacks Method on Kali Linux OS. Academic Journal of Nawroz University, 10(1), 7–12. https://doi.org/10.25007/ajnu.v10n1a998

Mishra, A. D., & Singh, Y. B. (2016, April). Big data analytics for security and privacy challenges. In 2016 International Conference on Computing, Communication and Automation (ICCCA) (pp. 50-53). IEEE.

Salinas, S., Chen, X., Ji, J., & Li, P. (2016). A tutorial on secure outsourcing of large-scale computations for big data. IEEE Access, 4, 1406-1416.

Mishra, A. D., & Singh, Y. B. (2016, April). Big data analytics for security and privacy challenges. In 2016 International Conference on Computing, Communication and Automation (ICCCA) (pp. 50-53). IEEE.

Wibowo, S., & Sumari, A. D. W. (2020). The Utilization of Blockchain for Enhancing Big Data Security and Veracity. In Combating Security Challenges in the Age of Big Data (pp. 157-187). Springer, Cham.

Zaki, A. K. (2014). NoSQL databases: new millennium database for big data, big users, cloud computing and its security challenges. International Journal of Research in Engineering and Technology (IJRET), 3(15), 403-409.

Tran, H. Y., & Hu, J. (2019). Privacy-preserving big data analytics a comprehensive survey. Journal of Parallel and Distributed Computing, 134, 207-218.

Asaad, R. R. (2019). Güler and Linaro et al Model in an Investigation of the Neuronal Dynamics using noise Comparative Study. Academic Journal of Nawroz University, 8(3), 10–16. https://doi.org/10.25007/ajnu.v8n3a360

Zeng, W., Yang, Y., & Luo, B. (2013, October). Access control for big data using data content. In 2013 IEEE International Conference on Big Data (pp. 45-47). IEEE.

Marchal, S., Jiang, X., State, R., & Engel, T. (2014, June). A big data architecture for large scale security monitoring. In 2014 IEEE International Congress on Big Data (pp. 56-63). IEEE.

Yu, S. (2016). Big privacy: Challenges and opportunities of privacy study in the age of big data. IEEE access, 4, 2751-2763.

Rajab Asaad, R., & Masoud Abdulhakim, R. (2021). The Concept of Data Mining and Knowledge Extraction Techniques. Qubahan Academic Journal, 1(2), 17–20. https://doi.org/10.48161/qaj.v1n2a43

Ram Mohan Rao, P., Murali Krishna, S., & Siva Kumar, A. P. (2018). Privacy preservation techniques in big data analytics: a survey. Journal of Big Data, 5(1), 1-12.

Sedayao, J., Bhardwaj, R., & Gorade, N. (2014, June). Making big data, privacy, and anonymization work together in the enterprise: experiences and issues. In 2014 IEEE International Congress on Big Data (pp. 601-607). IEEE.

Asaad, R. R., Ahmad, H. B., & Ali, R. I. (2020). A Review: Big Data Technologies with Hadoop Distributed Filesystem and Implementing M/R. Academic Journal of Nawroz University, 9(1), 25–33. https://doi.org/10.25007/ajnu.v9n1a530

Cui, B., Zhang, B., & Wang, K. (2017, July). A data masking scheme for sensitive big data based on format-preserving encryption. In 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) (Vol. 1, pp. 518-524). IEEE.

Asaad, R. R., Abdurahman, S. M., & Hani, A. A. (2017). Partial Image Encryption using RC4 Stream Cipher Approach and Embedded in an Image. Academic Journal of Nawroz University, 6(3), 40–45. https://doi.org/10.25007/ajnu.v6n3a76

Devins, C., Felin, T., Kauffman, S., & Koppl, R. (2017). The law and big data. Cornell JL & Public Policy, 27, 357.

Laptev, N., Zeng, K., & Zaniolo, C. (2013, April). Very fast estimation for result and accuracy of big data analytics: The EARL system. In 2013 IEEE 29th International Conference on Data Engineering (ICDE) (pp. 1296-1299). IEEE.

Rajab Asaad, R. (2021). Review on Deep Learning and Neural Network Implementation for Emotions Recognition . Qubahan Academic Journal, 1(1), 1–4. https://doi.org/10.48161/qaj.v1n1a25

Gillis, T. B., & Spiess, J. L. (2019). Big data and discrimination. The University of Chicago Law Review, 86(2), 459-488.

Kalyvas, J. R., & Overly, M. R. (2014). Big Data: A business and legal guide. CRC Press.


Mehmood, A., Natgunanathan, I., Xiang, Y., Hua, G., & Guo, S. (2016). Protection of big data privacy. IEEE access, 4, 1821-1834.

Scholtes, J. C., & van den Herik, H. J. (2021). Big data analytics for e-discovery. In Research Handbook on Big Data Law. Edward Elgar Publishing.

Price, W., & Nicholson, I. I. (2015). Big data, patents, and the future of medicine. Cardozo L. Rev., 37, 1401.


Matturdi, B., Zhou, X., Li, S., & Lin, F. (2014). Big Data security and privacy: A review. China Communications, 11(14), 135-145.

Moreno, J., Serrano, M. A., & Fernández-Medina, E. (2016). Main issues in big data security. Future Internet, 8(3), 44.

Zhang, D. (2018, October). Big data security and privacy protection. In 8th international conference on management and computer science (ICMCS 2018) (Vol. 77, pp. 275-278). Atlantis Press.

Asaad, R. R., Abdulrahman, S. M., & Hani, A. A. (2017). Advanced Encryption Standard Enhancement with Output Feedback Block Mode Operation. Academic Journal of Nawroz University, 6(3), 1–10. https://doi.org/10.25007/ajnu.v6n3a70

Terzi, D. S., Terzi, R., & Sagiroglu, S. (2015, December). A survey on security and privacy issues in big data. In 2015 10th International Conference for Internet Technology and Secured Transactions (ICITST) (pp. 202-207). IEEE.



How to Cite

Rajab Asaad, R., & Luqman Abdulnabi, N. (2022). A Review on Big Data Analytics between Security and Privacy Issue. Academic Journal of Nawroz University, 11(3), 178–184. https://doi.org/10.25007/ajnu.v11n3a1446




Most read articles by the same author(s)