Taxonomy of machine leaning based anomaly detection and its suitability

R Makani, BVR Reddy - Procedia computer science, 2018 - Elsevier
Abstract Mobile Adhoc Networks (MANETs) are gaining popularity due to their potential of
providing low cost solutions to real-world communication problems. MANET poses several …

Review of Machine Learning-Based Intrusion Detection Techniques for MANETs

F Hamza, S Maria Celestin Vigila - Computing and Network Sustainability …, 2019 - Springer
Mobile ad hoc network is a widely developing technology that has been used in various
areas such as in health care, military, virtual classrooms and conferences. However, mobile …

[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 …

Anomaly-based intrusion detection systems for mobile ad hoc networks: A practical comprehension

SR Valiveti, A Manglani, T Desai - International Journal of Systems …, 2021 - igi-global.com
Ad hoc networks are used in heterogeneous environments like tactical military applications,
where no centrally coordinated infrastructure is available. The network is required to perform …

An investigation of machine learning-based intrusion detection system in mobile ad hoc network

CE Singh, SMC Vigila - International Journal of Intelligent …, 2023 - inderscienceonline.com
Building stable networks is one of the most demanding issues in the current era, as the
world is increasingly reliant on computers and technology. The standard MANET protocols …

Design an anomaly-based intrusion detection system using soft computing for mobile ad hoc networks

A Chaudhary, VN Tiwari… - International Journal of …, 2016 - inderscienceonline.com
The main objective of an intrusion detection system is to classify the normal and suspicious
activities in the network. The complex characteristics of mobile ad hoc networks make …

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 …

A Deep Learning based Intrusion Detection Approach for MANET

R Meddeb, F Jemili, B Triki, O Korbaa - 2022 - researchsquare.com
Abstract Defining efficient Intrusion Detection Systems (IDSs) have gained a lot of attractions
due to the massive increase in different sorts of attacks in Mobile Ad-Hoc Network (MANET) …

[PDF][PDF] Multistage optimized fuzzy based intrusion detection protocol for NIDS in MANET

S Venkatasubramanian - Internation al journal of innovative research …, 2021 - academia.edu
Malicious activities that harm the operation of a network can be sensed using intrusion
detection systems (IDS), which are critical in this regard. There are wireless networks called …

[PDF][PDF] A Comprehensive Survey on Anomaly-Based Intrusion Detection in MANET.

D Kheyri, M Karami - Comput. Inf. Sci., 2012 - pdfs.semanticscholar.org
In recent years, mobile ad hoc networks (MANET) have become an interesting research
area. This type of networks have a salient characteristics compare with wired networks …