INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Since the introduction of online learning and the widespread use of AI-proctored examination systems, protecting the integrity of assessments has faced new difficulties. The development of reliable methods for detecting electronic cheating, notably the use of Virtual Machines (VMs) during examinations, has become essential with the rise of advanced cheating methods. Hence, in this paper, an approach for detecting virtual machine usage in an AI-proctored test system is proposed. In order to uncover e-malpractice activities related to the use of VMs. the approach offers a unique model that makes use of system resource parameters for machine learning techniques. Extensive experiments were carried out using simulated datasets to show the efficiency of the proposed approach. The findings demonstrate accurate e-malpractice detection in terms of performance metrics that is likely to improve integrity in academic evaluation.
"Leveraging Machine Learning in Virtual Machine-Based Mitigation Strategies", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e163-e180, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404418.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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