A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks

A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks

The botnet attack is a multi-stage and the most prevalent cyber-attack in the Internet of Things (IoT) environment that initiates with scanning activity and ends at the distributed denial of service (DDoS) attack. The existing studies mostly focus on detecting botnet attacks after the IoT devices ge...

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Bibliographic Details
Main Authors: Faisal Hussain, Syed Ghazanfar Abbas, Ivan Miguel Pires, Sabeeha Tanveer, Ubaid U. Fayyaz, Nuno M. Garcia, Ghalib A. Shah, Farrukh Shahzad
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Internet of Things
IoT botnet
botnet detection
IoT botnet attacks
IoT botnet DDoS attack
DDoS attack prevention
Online Access:https://ieeexplore.ieee.org/document/9627657/

Internet

https://ieeexplore.ieee.org/document/9627657/

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