A Combined Leading Ensemble Decision Classifier Module (CLEDCM) for Intrusion Detection in IoT
Author:
Affiliation:
1. National Institute of Technical Teachers Training & Research,Department of Computer Science and Engineering,Bhopal,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10569140/10569143/10569930.pdf?arnumber=10569930
Reference26 articles.
1. On resilience of Wireless Mesh routing protocol against DoS attacks in IoT-based ambient assisted living applications
2. Statistic Approached Dynamically Detecting Security Threats and Updating a Signature-Based Intrusion Detection System’s Database in NGN
3. A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions
4. Network Intrusion Detection System Using Neural Network Classification of Attack Behavior
5. Ensemble learning via feature selection and multiple transformed subsets: Application to image classification
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