Zainab Ali Abbood1,2,*, Doğu Çağdaş Atilla3,4, Çağatay Aydin5
Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 269-281, 2023, DOI:10.32604/iasc.2023.035276
Abstract Deep learning (DL) is a subdivision of machine learning (ML) that
employs numerous algorithms, each of which provides various explanations of
the data it consumes; mobile ad-hoc networks (MANET) are growing in prominence. For reasons including node mobility, due to MANET’s potential to provide
small-cost solutions for real-world contact challenges, decentralized management,
and restricted bandwidth, MANETs are more vulnerable to security threats. When
protecting MANETs from attack, encryption and authentication schemes have
their limits. However, deep learning (DL) approaches in intrusion detection systems (IDS) can adapt to the changing environment of MANETs and allow a system to make intrusion decisions… More >
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