A Novel Multi Algorithm Approach to Identify Network Anomalies in the IoT Using Fog Computing and a Model to Distinguish between IoT and Non-IoT Devices
Botnet attacks, such as DDoS, are one of the most common types of attacks in IoT networks. A botnet is a collection of cooperated computing machines or Internet of Things gadgets that criminal users manage remotely. Several strategies have been developed to reduce anomalies in IoT networks, such as...
Main Authors: | Rami J. Alzahrani, Ahmed Alzahrani |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Journal of Sensor and Actuator Networks |
Subjects: | |
Online Access: | https://www.mdpi.com/2224-2708/12/2/19 |
Similar Items
-
ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks
by: Qasem Abu Al-Haija, et al.
Published: (2022-03-01) -
TwI-FTM: Two-way IoT-FoG trust management scheme for task offloading in IoT-FoG networks
by: Premalatha B, et al.
Published: (2024-06-01) -
Enhanced Anomaly Detection System for IoT Based on Improved Dynamic SBPSO
by: Asima Sarwar, et al.
Published: (2022-06-01) -
An Efficient and Secure Fog Based Routing Mechanism in IoT Network
by: Tauqeer Safdar Malik, et al.
Published: (2023-08-01) -
Integration of IoT and Fog Computing in Healthcare Based the Smart Intensive Units
by: Naif Al Mudawi
Published: (2022-01-01)