Cyberpsychology Based insider Threat Prediction Model Approach for Cybersecurity

Author(s)	Jitendranath Palem, Sivaprakash Palaniswamy
Country	india
Abstract	This paper focuses on demonstrating a fundamental prediction model based on ordinal logistic regression technique for creating an awareness and the importance a holistic cybersecurity product and services based on Cyberpsychology. This is helpful for the universities and also the industries to integrate cyberpsychology into an AI-based cybersecurity product or services and that will be a powerful combination and may effectively prevent malicious internal attacks.
Keywords	Cybersecurity, Cyberpsychology, Insider threats, psychological factors, Machine learning, Ordinal Logistic Regression model and Prediction
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 4, July-August 2023
Published On	2023-07-17
Cite This	Cyberpsychology Based insider Threat Prediction Model Approach for Cybersecurity - Jitendranath Palem, Sivaprakash Palaniswamy - IJFMR Volume 5, Issue 4, July-August 2023. DOI 10.36948/ijfmr.2023.v05i04.4446
DOI	https://doi.org/10.36948/ijfmr.2023.v05i04.4446
Short DOI	https://doi.org/gshm8s

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