Role of machine learning for ad hoc networks

S Gaba, A Aggarwal, S Nagpal - Cloud and IoT‐Based …, 2021 - Wiley Online Library
MANETs are gathering of wireless devices which vigorously make an ad hoc network in
many conditions as adversity release, vital consultation or military assignment even …

Machine learning for wireless communications in the Internet of Things: A comprehensive survey

J Jagannath, N Polosky, A Jagannath, F Restuccia… - Ad Hoc Networks, 2019 - Elsevier
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …

Intrusion detection in mobile AdHoc networks using machine learning approach

T Poongothai, K Duraiswamy - International Conference on …, 2014 - ieeexplore.ieee.org
Mobile ad hoc networking (MANET) has become a key technology in recent years because
of the increased usage of wireless devices and their ability to provide temporary and instant …

Mobile Adhoc networks-an overview of risk identification, intrusion detection and machine learning techniques used

H Michael, A Jedidiah - 2022 IEEE 2nd International …, 2022 - ieeexplore.ieee.org
Mobile Adhoc Networks also known as MANETS or Wireless Adhoc Networks is a network
that usually has a routable networking environment on top of a Link Layer ad hoc network …

Machine learning in wireless communication: A survey

NV Sharma, NS Yadav - Research Anthology on Artificial Intelligence …, 2021 - igi-global.com
As the circumstances are changing, mankind has turned out to be more inclined to snappy
and speedier correspondence and access to information. The correspondence happens in …

[PDF][PDF] Intrusion detection in manet through machine learning approach

SJ Sultanuddin, MA Hussain - International Journal of …, 2022 - pdfs.semanticscholar.org
Mobile ad hoc networks (MANETs) have evolved into a leading multi-hop infrastructure less
wireless communication technology where every node performs the function of a router. Ad …

[PDF][PDF] An effective intrusion detection system for routing attacks in manet using machine learning technique

P Gite, S Thakur - International Journal of Computer Applications, 2015 - academia.edu
Wireless communication is widely adopted and application oriented technology There are a
huge literature about Mobile Ad-hoc network is available. In these studies, the ad hoc …

A deep learning methods for intrusion detection systems based machine learning in MANET

S Laqtib, KE Yassini, ML Hasnaoui - Proceedings of the 4th international …, 2019 - dl.acm.org
Deep learning is a subset of machine learning where algorithms are created and function
similar to those in machine learning, but there are numerous layers of these algorithms each …

[PDF][PDF] A technical review and comparative analysis of machine learning techniques for intrusion detection systems in MANET

S Laqtib, K El Yassini, ML Hasnaoui - International Journal of Electrical …, 2020 - core.ac.uk
Machine learning techniques are being widely used to develop an intrusion detection
system (IDS) for detecting and classifying cyber attacks at the network-level and the host …

Review on machine learning based intrusion detection for manet security

W Bouassaba, A Nabou… - 2022 9th international …, 2022 - ieeexplore.ieee.org
Recently, the mobile ad hoc network (MANET) has enjoyed a great reputation thanks to its
advantages such as: high performance, no expensive infrastructure to install, use of …