Machine learning based security solutions in MANETs: State of the art approaches

R Popli, M Sethi, I Kansal, A Garg… - Journal of physics …, 2021 - iopscience.iop.org
Abstract Machine learning (ML) techniques provide the learning capability to a system and
encourage adaptation into the environment, based upon many logical and statistical …

Machine learning methods for intrusive detection of wormhole attack in mobile ad hoc network (MANET)

M Abdan, SAH Seno - Wireless Communications and Mobile …, 2022 - Wiley Online Library
A wormhole attack is a type of attack on the network layer that reflects routing protocols. The
classification is performed with several methods of machine learning consisting of K‐nearest …

Performance Enhancement of DYMO Routing Protocol in MANETs Using Machine Learning Technique

PM Manohar, DV Divakara Rao - … on Smart Computing and Informatics (SCI …, 2022 - Springer
Mobile ad hoc networks (MANETs) is one the notable areas of wireless ad hoc networks in
which nodes form a temporary network without any infrastructure. Because of the network's …

A Study on Performance Improvement of Intrusion Detection using Efficient Authentication and Distributed Monitoring

H Yang - International Journal of Computer Network and …, 2022 - search.proquest.com
Abstract In a Mobile Ad hoc Network (MANET), mobile nodes play multiple roles as hosts
and routers and are dynamically changing multi-hop structures. MANET consists only of …

[PDF][PDF] WHITE HOLE ATTACKER DETECTION IN MOBILE ADHOC NETWORK

S HEMALATHA, SM D'SOUZA, KSF AHMAD - Journal of Theoretical and …, 2024 - jatit.org
While making communication among the wireless nodes, which relies on without making
infrastructure less network are vulnerable to security fall. One of the most affecting …

Mobility and Trust Aware Adaptive Location Aided Routing for MANETs

N Gorre, SR Duggirala - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Mobile Ad Hoc Networks (MANETs) are more susceptible to security threats due to the
nature of openness and decentralized administration. Even though there exist several …

Mitigating Intruder Detection System in Mobile Adhoc Network (MANET) using optimizer based ANN model

N Sivanesan, A Rajesh - 2023 - researchsquare.com
Abstract Mobile Adhoc Network (MANET) is an adoptable network with dynamic as well as
decentralized network in nature. This research concentrates to resolve Denial-of-Service …

Cellular Automata, Learning Automata, and Cellular Learning Automata for Optimization

J Kazemi Kordestani, M Razapoor Mirsaleh… - Advances in Learning …, 2021 - Springer
Since many real problems have several limitations and constraints for different
environments, no standard optimization algorithms could work successfully for all kinds of …

Mitigating Intruder Detection System in Mobile Adhoc Network (MANET) Using Optimizer Based ANN Model

S Narayanan - papers.ssrn.com
Abstract Mobile Adhoc Network (MANET) is an adoptable network with dynamic as well as
decentralized network in nature. This research concentrates to resolve Denial-of-Service …