Assessing the Effectiveness of Artificial Intelligence Techniques in Mitigating Cyber security Risks

Authors

  • Chennu Naga Venkata Sai Student, Department of Computer Science and Engineering, KL Deemed to be university, Green Fields vaddeswaram-522302, INDIA https://orcid.org/0009-0000-8252-8682
  • Rangu Jaswanth Student, Department of Computer Science and Engineering, KL Deemed to be university, Green Fields vaddeswaram-522302, INDIA https://orcid.org/0009-0003-5493-9339
  • Avula Manasa Student, Department of Computer Science and Engineering, KL Deemed to be university, Green Fields vaddeswaram-522302, INDIA https://orcid.org/0009-0003-3524-0573
  • Yaramakula Sai Pranathi Reddy Student, Department of Computer Science and Engineering, KL Deemed to be university, Green Fields vaddeswaram-522302, INDIA https://orcid.org/0009-0003-7685-2066
  • Suryakanth V. Gangashetty Professor, Department of Computer Science and Engineering, KL Deemed to be university, Green Fields vaddeswaram-522302, INDIA https://orcid.org/0000-0001-6745-4363
  • D. Govind Professor, Department of Computer Science and Engineering, KL Deemed to be university, Green Fields vaddeswaram-522302, INDIA

Keywords:

Machine Learning Techniques, Cyber security Threats, Qualitative Study, Information Technology Personne

Abstract

The goal of the research was to determine whether or whether dangers to cyber security might be mitigated using approaches based on machine learning, with a particular focus on Iraq. The main data and the qualitative research approach were the ones that were chosen. The information needed for the study was collected from members of staff working in the information technology department. The sample size for this particular investigation was 468, and the researchers performed confirmation factor analysis of discriminant validity, basic analysis of models, and assessment of the hypotheses. All of the P-values were determined to be significant, with the only exception being the expert system, which did not demonstrate any association with machine learning and cyber security. Accessibility, geographical location, the size of the sample, and the number of components comprised the majority of the most critical variables.

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Published

21.09.2023

How to Cite

Venkata Sai, C. N. ., Jaswanth, R. ., Manasa, A. ., Pranathi Reddy, Y. S. ., Gangashetty, S. V. ., & Govind, D. . (2023). Assessing the Effectiveness of Artificial Intelligence Techniques in Mitigating Cyber security Risks. International Journal of Intelligent Systems and Applications in Engineering, 11(4), 763–771. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3610

Issue

Vol. 11 No. 4 (2023)

Section

Research Article

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