Author

S. Patil

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Open access Aug 2026

A dual-layer AI-based approach for real-time network intrusion detection using random forest and autoencoder

This work introduces a hybrid intrusion detection system (IDS) that combines Random Forest (RF) and Autoencoder (AE) and shows a high detection rate when compared to other baselines.

B. Khemani, Sachin Sapkale, Tanmay Buchade et al. · Journal on Information Secur... · 0 citations

Open access Aug 2026

Deepfakebuster: a confidence-calibrated adaptive ensemble framework for robust Deepfake image detection

DeepFakeBuster is presented as a confidence-calibrated adaptive ensemble for deepfake image detection by fusing together heterogeneous deep learning models built around detecting complementary forensic cues e.g., spatial inconsistencies, boundary artifacts, noise residuals, semantic consistency, and frequency-domain fe...

Rachana Patil, R. Shinde, S. Patil et al. · Scientific Reports · 0 citations