Machine Learning and Computer Vision for Cybersecurity: Identifying Insider Threats Through Behavioral and Visual Analysis
Published 07-12-2023
Keywords
- Machine Learning,
- Computer Vision,
- Cybersecurity,
- Insider Threats,
- Behavioral Analysis
- Visual Monitoring,
- Pattern Recognition ...More
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Abstract
Insider threats pose significant risks to organizational security, as they can lead to data breaches, financial losses, and reputational damage. This paper discusses the integration of machine learning and computer vision technologies to enhance cybersecurity by monitoring employee behavior and detecting potential insider threats. By leveraging visual cues and behavioral patterns, organizations can develop proactive security measures to identify and mitigate risks. The research examines various machine learning algorithms, computer vision techniques, and case studies illustrating successful implementations in detecting insider threats. The findings emphasize the importance of combining behavioral analysis with visual monitoring to create robust security protocols. This approach not only enhances threat detection capabilities but also fosters a culture of security awareness within organizations.
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References
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