Towards feasibility of Deep-Learning based Intrusion Detection System for IoT Embedded Devices.
Jonathan HunterBrennan HuberFarah I. KandahPublished in: CCNC (2022)
Keyphrases
- deep learning
- embedded devices
- intrusion detection system
- intrusion detection
- network security
- anomaly detection
- computer networks
- unsupervised learning
- network traffic
- embedded systems
- distributed intrusion detection
- mobile devices
- machine learning
- management system
- computer systems
- mental models
- weakly supervised
- data storage
- limited memory
- pattern recognition
- flash memory
- database
- cloud computing
- training data
- information systems
- learning algorithm