Scalable machine learning-based intrusion detection system for IoT-enabled smart cities
Given a scale expansion of Internet of Things for sustainable resource management in smart cities, proper design of an intrusion detection system (IDS) is critical to safeguard the future network infrastructure from intruders. With the growth of connected things, the most-widely used centralized (cl...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Elsevier Ltd
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/28942/ http://umpir.ump.edu.my/id/eprint/28942/1/Scalable%20machine%20learning-based%20intrusion%20detection%20system%20for%20IoT_FULL.pdf http://umpir.ump.edu.my/id/eprint/28942/2/Scalable%20machine%20learning-based%20intrusion%20detection%20system%20for%20IoT.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/28942/http://umpir.ump.edu.my/id/eprint/28942/1/Scalable%20machine%20learning-based%20intrusion%20detection%20system%20for%20IoT_FULL.pdf
http://umpir.ump.edu.my/id/eprint/28942/2/Scalable%20machine%20learning-based%20intrusion%20detection%20system%20for%20IoT.pdf