INTEGRATING AI AND ML FOR COMPREHENSIVE DATA MANAGEMENT, GOVERNANCE, AND PRIVACY MONITORING
Keywords:
AI, Machine Learning, Privacy, Data ManagementAbstract
The purpose of this study is to investigate the revolutionary effects that artificial intelligence has had on the privacy and security of data. The first part of the presentation begins with an explanation of the fundamental ideas and the significance of data privacy and security. This is then followed by a discussion of traditional methodologies and the shortcomings that are associated with them. Moving forward, the primary focus of this discussion will be on the ways in which artificial intelligence, with its skills in automation and anomaly identification, is causing this field to undergo a transformation. In this paper, the various aspects of predictive analytics, natural language processing, and machine learning are discussed as prevalent aspects of artificial intelligence applications on strengthening protection mechanisms for data. Definitions, case studies, and in-depth analysis are used to describe these aspects. In the following section, the paper provides illustrative examples of real-world applications in banking and health care. The purpose of this section is to provide an understanding of how artificial intelligence can be incorporated into the security system, as well as the lessons realized from such incorporation. The purpose of this article is to provide a comprehensive understanding of artificial intelligence by conducting a brief examination of the ethical concerns. Despite the enormous benefits that may be derived from AI, there is a significant concern on potential biases, surveillance energy as an issue, and finally, data handling issues.
References
M. Abdullahi, Y. Baashar, H. Alhussian, A. Alwadain, N. Aziz, L. F. Capretz, and S. J. Abdulkadir, "Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review," Electronics (Switzerland), vol. 11, no. 2, 2022. DOI: 10.3390/electronics11020198.
S. F. Ahmad, H. Han, M. M. Alam, M. K. Rehmat, M. Irshad, M. Arraño-Muñoz, and A. Ariza-Montes, "Impact of artificial intelligence on human loss in decision making, laziness and safety in education," Humanities and Social Sciences Communications, vol. 10, no. 1, 2023. DOI: 10.1057/s41599-023-01787-8.
A. Aldoseri, K. N. Al-Khalifa, and A. M. Hamouda, "Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges," Applied Sciences (Switzerland), vol. 13, no. 12, 2023. DOI: 10.3390/app13127082.
Y. A. AL-Khassawneh, "A review of artificial intelligence in security and privacy: Research advances, applications, opportunities, and challenges," Indonesian Journal of Science and Technology, vol. 8, no. 1, pp. 79-96, 2023. [Online]. Available: https://ejournal.kjpupi.id/index.php/ijost/article/view/9.
E. Bertino, M. Kantarcioglu, C. G. Akcora, S. Samtani, S. Mittal, and M. Gupta, "AI for Security and Security for AI," in Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy, pp. 333-334, 2021. DOI: 10.1145/3422337.3450357.
J. Carmody, S. Shringarpure, and G. Van de Venter, "AI and privacy concerns: a smart meter case study," Journal of Information, Communication and Ethics in Society, vol. 19, no. 4, pp. 492-505, 2021.
D. R. Chandran, "Use of AI Voice Authentication Technology Instead of Traditional Keypads in Security Devices," Journal of Computer and Communications, vol. 10, no. 06, 2022. DOI: 10.4236/jcc.2022.106002.
J. Chen, L. Ramanathan, and M. Alazab, "Holistic big data integrated artificial intelligent modeling to improve privacy and security in data management of smart cities," Microprocessors and Microsystems, vol. 81, p. 103722, 2021.
S. Dilmaghani, M. R. Brust, G. Danoy, N. Cassagnes, J. Pecero, and P. Bouvry, "Privacy and security of big data in AI systems: A research and standards perspective," in 2019 IEEE International Conference on Big Data (Big Data), pp. 5737-5743, 2019. DOI: 10.1109/BigData47090.2019.9006283.
D. Elliott and E. Soifer, "AI technologies, privacy, and security," Frontiers in Artificial Intelligence, vol. 5, 2022. DOI: 10.3389/frai.2022.826737.
M. K. Hasan, T. M. Ghazal, R. A. Saeed, B. Pandey, H. Gohel, A. A. Eshmawi, S. Abdel-Khalek, and H. M. Alkhassawneh, "A review on security threats, vulnerabilities, and counter measures of 5G enabled Internet-of-Medical-Things," IET Communications, vol. 16, no. 5, 2022. DOI: 10.1049/cmu2.12301.
Y. Himeur, S. S. Sohail, F. Bensaali, A. Amira, and M. Alazab, "Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives," Computers and Security, vol. 118, 2022. DOI: 10.1016/j.cose.2022.102746.
N. Khalid, A. Qayyum, M. Bilal, A. Al-Fuqaha, and J. Qadir, "Privacy-preserving artificial intelligence in healthcare: Techniques and applications," Computers in Biology and Medicine, vol. 158, 2023. DOI: 10.1016/j.compbiomed.2023.106848.
R. S. Lee and R. S. Lee, "AI Ethics, Security and Privacy," in Artificial Intelligence in Daily Life, 2020. DOI: 10.1007/978-981-15-7695-9_14.
B. Liu, X. Zhang, R. Shi, M. Zhang, and G. Zhang, "SEPSI: A Secure and Efficient Privacy-Preserving Set Intersection with Identity Authentication in IoT," Mathematics, vol. 10, no. 12, 2022. DOI: 10.3390/math10122120.
A. Majeed and S. O. Hwang, "When AI meets Information Privacy: The Adversarial Role of AI in Data Sharing Scenario," IEEE Access, 2023. DOI: 10.1109/ACCESS.2023.3084907.
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Copyright (c) 2024 Ankush Reddy Sugureddy (Author)
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