Enhancing the Security by Analyzing the Behaviour of Multiple Classification Algorithms with Dimensionality Reduction to Obtain Better Accuracy
Author:
Affiliation:
1. JAIN (Deemed-to-be-University),Department of CSE,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10395909/10396851/10396971.pdf?arnumber=10396971
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1. Troubleshooting an Intrusion Detection Dataset: the CICIDS2017 Case Study
2. Benchmarking of Machine Learning for Anomaly Based Intrusion Detection Systems in the CICIDS2017 Dataset
3. A Novel Intrusion Detection Model for Detecting Known and Innovative Cyberattacks Using Convolutional Neural Network
4. MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles
5. A real-time and ubiquitous network attack detection based on deep belief network and support vector machine
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