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arXiv (Cornell University)
A Comparative Analysis of Machine Learning Algorithms for Intrusion\n Detection in Edge-Enabled IoT Networks
November 2021 • Poornima Mahadevappa, Syeda Mariam Muzammal, Raja Kumar Murugesan
A significant increase in the number of interconnected devices and data\ncommunication through wireless networks has given rise to various threats,\nrisks and security concerns. Internet of Things (IoT) applications is deployed\nin almost every field of daily life, including sensitive environments. The edge\ncomputing paradigm has complemented IoT applications by moving the\ncomputational processing near the data sources. Among various security models,\nMachine Learning (ML) based intrusion detection is the most c…
Computer Science
Enhanced Data Rates For Gsm Evolution
Internet Of Things
Machine Learning
Artificial Intelligence
Edge Computing
Data Mining
Computer Security
Mathematics