Adaptive activation Functions with Deep Kronecker Neural Network optimized with Bear Smell Search Algorithm for preventing MANET Cyber security attacks

An Adaptive activation Functions with Deep Kronecker Neural Network optimized with Bear Smell Search Algorithm (BSSA) (ADKNN-BSSA-CSMANET) is proposed for preventing MANET Cyber security attacks. The mobile users are enrolled with Trusted Authority Using a Crypto Hash Signature (SHA-256). Every mobi...

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Vydáno v:	Network (Bristol) Ročník 36; číslo 3; s. 426 - 450
Hlavní autoři:	Shanmugham, E.V.R.M. Kalaimani, Dhatchnamurthy, Saravanan, Pakkiri, Prabbu Sankar, Garg, Neha
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England 03.07.2025
Témata:	Algorithms Computer Security Humans Neural Networks, Computer NSL-KDD dataset MANET Cyber security attacks Adaptive activation Functions with Deep Kronecker Neural Network Crypto Hash Signature Geodesic filtering Group Teaching Algorithm adaptive density-based spatial clustering
ISSN:	0954-898X, 1361-6536, 1361-6536
On-line přístup:	Získat plný text
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