Analysis of Machine Learning Techniques for Lightweight DDoS Attack Detection on IoT Networks
- 4 March 2021
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 7 references indexed in Scilit:
- Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT datasetFuture Generation Computer Systems, 2019
- Delving Into Internet DDoS Attacks by Botnets: Characterization and AnalysisIEEE/ACM Transactions on Networking, 2018
- N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep AutoencodersIEEE Pervasive Computing, 2018
- Botnet Detection in the Internet of Things using Deep Learning ApproachesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2018
- Distributed attack detection scheme using deep learning approach for Internet of ThingsFuture Generation Computer Systems, 2018
- Dynamic attack detection and mitigation in IoT using SDNPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Enabling Deep Learning on IoT DevicesComputer, 2017