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OverviewTraditional security measures often fall short in detecting malicious insiders. This book introduces an innovative insider threat detection model leveraging the power of deep learning and ensemble methods. By capturing temporal dependencies in user behavior through LSTM networks and employing the robust classification capabilities of Random Forest, this research offers a significant step forward in safeguarding sensitive information from internal threats. Full Product DetailsAuthor: Rajasekar LPublisher: Eliva Press Imprint: Eliva Press Dimensions: Width: 15.20cm , Height: 0.20cm , Length: 22.90cm Weight: 0.073kg ISBN: 9789999326704ISBN 10: 9999326706 Pages: 44 Publication Date: 07 November 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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