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A Survey On Deep Learning-Based Ransomware Detection and Prevention in Internet of Things Devices by BRNSS Publication Hub Info is a document available to read on EtoBox.
This review article surveys deep learning-based ransomware detection and prevention methods specifically for Internet of Things (IoT) devices, highlighting the vulnerabilities and challenges posed by ransomware in these environments. It discusses various machine learning and deep learning techniques, including support vector machines, decision trees, and convolutional neural networks, as effective solutions for enhancing security against ransomware threats. The paper emphasizes the need for adaptive, scalab
- Author
- BRNSS Publication Hub Info
- Language
- EN