A deep learning-based intrusion detection approach for mobile Ad-hoc network
The goal of the paper is to present a Stacked autoencoder approach for enhancing Intrusion
Detection Systems (IDSs) in Mobile Ad-Hoc Networks (MANETs). The paper proposes a …
Detection Systems (IDSs) in Mobile Ad-Hoc Networks (MANETs). The paper proposes a …
Insights on the internet of things: past, present, and future directions
T Sutikno, D Thalmann - … Computing Electronics and Control), 2022 - telkomnika.uad.ac.id
The internet of things (IoT) is rapidly expanding and improving operations in a wide range of
real-world applications, from consumer IoT and enterprise IoT to manufacturing and …
real-world applications, from consumer IoT and enterprise IoT to manufacturing and …
Original Research Article Detection of Data imbalance in MANET network based on ADSY-AEAMBi-LSTM with DBO Feature selection
V Srinivasan, VH Raj, A Thirumalraj… - Journal of Autonomous …, 2024 - jai.front-sci.com
Abstract A Mobile Ad Hoc Network (MANET) is a temporary wireless network formed by
mobile nodes. These nodes cooperate to relay information in a multi-hop fashion, but some …
mobile nodes. These nodes cooperate to relay information in a multi-hop fashion, but some …
AI-enhanced security demand and routing management for MANETs with optical technologies
X Jia, D Huang, N Qin - Optical and Quantum Electronics, 2024 - Springer
Abstract The proliferation of Mobile Ad hoc Networks (MANETs), where nodes connect with
one another to offer the required real-time entertainment services, is where academics are …
one another to offer the required real-time entertainment services, is where academics are …
Crossover Boosted Grey Wolf Optimizer‐based framework for leader election and resource allocation in Intrusion Detection Systems for MANETs
S Selvaraj, M Nanjappan… - Transactions on …, 2024 - Wiley Online Library
Abstract Mobile Ad hoc Networks (MANETs) is a self‐organizing networks without having a
fixed infrastructure for making them susceptible to security threats. Intrusion Detection …
fixed infrastructure for making them susceptible to security threats. Intrusion Detection …
Securing laboratories through internet of things networks: a comprehensive approach for ensuring safety and efficiency
The design of a secure, intelligent laboratory that incorporates internet of things (IoT)
devices and applications is a complex process. One of the main goals is to create a process …
devices and applications is a complex process. One of the main goals is to create a process …
[PDF][PDF] Secured Federated Learning for DDoS Detection in Heterogenous Telecom Cloud Networks Using Recurrent Neural Networks
The recent evolution of cloud computing has enabled the cloudification of
Telecommunication (Telecom) network functions. The cloud-based Telecom infrastructure is …
Telecommunication (Telecom) network functions. The cloud-based Telecom infrastructure is …