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Decision and Recommendation System Services for Patients Using Artificial Intelligence by Arjun Tandon; Raghav Dangey; Anand Kumar Mishra; G. Balamurugan; Amit Kumar Tyagi is a book available to read on EtoBox.

What is Decision and Recommendation System Services for Patients Using Artificial Intelligence about?

Recent advancements in the Internet of Things (IoT) have made it possible to create intelligent surroundings. With any technology, the IoT idea is thought to carry considerable security and privacy threats. The various potential incursions that may be made pose privacy and security issues. The creation of an intrusion detection system is necessary to identify attacks and anomalies in the IoT system. This study presents a Deep Belief Network (DBN) algorithm model for the intrusion detection system. The CICIDS 2017 dataset is used in the performance analysis of the current IDS model for assaults and anomaly detection. All of the metrics, including accuracy, recall, precision, F1-score, detection rate, and others, were improved by the recommended technique. The way that people get healthcare has been transformed by IoT technology. Due to the integration of networkenabled IoT devices with healthcare network organizations, medical institutions are extremely worried about IoT security. This research presents a machine learning-based detection mechanism for dangerous behaviors in such IoT network contexts. The suggested two-phase LSTM detection technique establishes the network's traffic

Author

Arjun Tandon; Raghav Dangey; Anand Kumar Mishra; G. Balamurugan; Amit Kumar Tyagi

Publisher

Wiley-Scrivener

Published

2023

Language

EN

ISBN

9781394213719

Subjects

Computer Science, Stem