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Network Intrusion Detection with ML & DL by onyinye cynthia is a document available to read on EtoBox.
What is Network Intrusion Detection with ML & DL about?
The document discusses the increasing challenges of network security due to the rise in digitization and network traffic, highlighting the significance of Intrusion Detection Systems (IDS) in identifying malicious activities. It evaluates the effectiveness of various machine learning and deep learning algorithms for anomaly detection, using performance metrics such as accuracy, precision, recall, and F-1 score on the CICIDS-2017 dataset. The study aims to enhance the performance of IDS through feature selec
- Author
- onyinye cynthia
- Language
- EN