A Probabilistic Descent Ensemble for Malware Prediction Using Deep Learning

Kumar, R. Vinoth; Suguna, R.

A Probabilistic Descent Ensemble for Malware Prediction Using Deep Learning

Kumar, R. Vinoth and Suguna, R. (2024) A Probabilistic Descent Ensemble for Malware Prediction Using Deep Learning. EAI Endorsed Transactions on Internet of Things.

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Abstract

INTRODUCTION: Introducing a Probabilistic Descent Ensemble (PDE) approach for enhancing malware prediction through deep learning leverages the power of multiple neural network models with distinct architectures and training strategies to achieve superior accuracy while minimizing false positives. O

Item Type:	Article
Date Deposited:	04 Mar 2026 18:15
Last Modified:	11 Apr 2026 00:09
URI:	http://eprints.eai.eu/id/eprint/51798

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