Review on Machine Learning Based Intrusion Detection for MANET Security
Author
Abstract

MANET Security - Recently, the mobile ad hoc network (MANET) has enjoyed a great reputation thanks to its advantages such as: high performance, no expensive infrastructure to install, use of unlicensed frequency spectrum, and fast distribution of information around the transmitter. But the topology of MANETs attracts the attention of several attacks. Although authentication and encryption techniques can provide some protection, especially by minimizing the number of intrusions, such cryptographic techniques do not work effectively in the case of unseen or unknown attacks. In this case, the machine learning approach is successful to detect unfamiliar intrusive behavior. Security methodologies in MANETs mainly focus on eliminating malicious attacks, misbehaving nodes, and providing secure routing.

Year of Publication
2022
Date Published
oct
Publisher
IEEE
Conference Location
Rabat, Morocco
ISBN Number
978-1-66545-276-2
URL
https://ieeexplore.ieee.org/document/9966457/
DOI
10.1109/WINCOM55661.2022.9966457
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