Deep learning-based early stage detection (DL-ESD) for routing attacks in Internet of Things networks
- 22 August 2022
- journal article
- research article
- Published by Springer Nature in The Journal of Supercomputing
- Vol. 79 (3) , 2626-2653
Abstract
No abstract availableKeywords
Funding Information
- Innovative Research Group Project of the National Natural Science Foundation of China (61572095, 61877007)
This publication has 40 references indexed in Scilit:
- Intelligent Intrusion Detection in Low-Power IoTsACM Transactions on Internet Technology, 2016
- Fog and IoT: An Overview of Research OpportunitiesIEEE Internet of Things Journal, 2016
- Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection2016
- Internet of things (IoT) security: Current status, challenges and prospective measures2015
- Feature selection using Deep Neural Networks2015
- Performance analysis of NSL-KDD dataset using ANN2015
- An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detectionPattern Recognition Letters, 2015
- A Vision of IoT: Applications, Challenges, and Opportunities With China PerspectiveIEEE Internet of Things Journal, 2014
- Standardized Protocol Stack for the Internet of (Important) ThingsIEEE Communications Surveys & Tutorials, 2012
- A Recent Survey on DDoS Attacks and Defense Mechanisms2011