Advanced Intrusion Detection in MANETs: A Survey of Machine Learning and Optimization Techniques for Mitigating Black/Gray Hole Attacks

Advanced Intrusion Detection in MANETs: A Survey of Machine Learning and Optimization Techniques for Mitigating Black/Gray Hole Attacks

Mobile Ad Hoc Networks (MANETs) are dynamic networks without fixed infrastructure, making them particularly vulnerable to security threats such as black and gray hole attacks. As these attacks grow more sophisticated, advancing detection methods become critical. This survey critically evaluates exis...

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Bibliographic Details
Main Authors: Saad M. Hassan, Mohd Murtadha Mohamad, Farkhana Binti Muchtar
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Mobile ad hoc networks (MANETs)
blackhole attacks
gray hole attacks machine learning in network security
federated learning (FL)
optimization techniques in security
Online Access:https://ieeexplore.ieee.org/document/10670401/
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https://ieeexplore.ieee.org/document/10670401/

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