Adaptive Marine Predator Optimization Algorithm (AOMA)–Deep Supervised Learning Classification (DSLC)based IDS framework for MANET security

Adaptive Marine Predator Optimization Algorithm (AOMA)–Deep Supervised Learning Classification (DSLC)based IDS framework for MANET security

Due to the dynamic nature and node mobility, assuring the security of Mobile Ad-hoc Networks (MANET) is one of the difficult and challenging tasks today. In MANET, the Intrusion Detection System (IDS) is crucial because it aids in the identification and detection of malicious attacks that impair the...

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Bibliographic Details
Main Authors: M. Sahaya Sheela, A. Gnana Soundari, Aditya Mudigonda, C. Kalpana, K. Suresh, K. Somasundaram, Yousef Farhaoui
Format: Article
Language:English
Published: Tsinghua University Press 2024-03-01
Series:Intelligent and Converged Networks
Subjects:
intrusion detection system (ids)
security
mobile ad-hoc network (manet)
min-max normalization
adaptive marine predator optimization algorithm (aoma)
deep supervise learning classification (dslc)
Online Access:https://www.sciopen.com/article/10.23919/ICN.2024.0001

Internet

https://www.sciopen.com/article/10.23919/ICN.2024.0001

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