A hybrid approach for intrusion detection system using data minining and artificial neural network

A Pathania, V Ghai - 2021 3rd International Conference on …, 2021 - ieeexplore.ieee.org
This paper is going to present a hybrid model for IDS using ANN and data mining
approaches. it is important to deploy a hybrid network using ANN based and data mining …

[PDF][PDF] A hybrid approach for intrusion detection system using and artificial neural network

DS Pathania, P Kumar - Journal of Mathematical …, 2023 - mathematicaljournal.com
MANET is an infrastructure-less ad-hoc network. It is a collection of mobile nodes that are
connected in an arbitrary and dynamic manner. ANN (Artificial Neural Network) is a type of …

A survey on deep learning based intrusion detection systems on Internet of Things

ST Slevi, P Visalakshi - 2021 Fifth International Conference on I …, 2021 - ieeexplore.ieee.org
The integration of IDS and Internet of Things (IoT) with deep learning plays a significant role
in safety. Security has a strong role to play. Application of the IoT network decreases the time …

Hybrid intrusion detector using deep learning technique

G Kanagaraj, T Primya, G Subashini… - … on Advancements in …, 2021 - ieeexplore.ieee.org
To shelter a computer network infrastructure, to avoid illegal changes and mistreatment in
system, besides hacking network security is to defend computer network. To realize network …

A survey on intrusion detection system in ad hoc networks based on machine learning

ZA Abbood, DÇ Atilla, Ç Aydin… - … Conference of Modern …, 2021 - ieeexplore.ieee.org
This advanced research survey aims to perform intrusion detection and routing in ad hoc
networks in wireless MANET networks using machine learning techniques. The MANETs are …

An effective intrusion detection system using supervised machine learning techniques

AS Ahanger, SM Khan… - 2021 5th International …, 2021 - ieeexplore.ieee.org
With the increased use of Internet resources, cyber attackers are using novel ways to attack
the services of network. Thus network security is becoming inevitable part of the network …

New Intrusion Detection System to Protect MANET Networks Employing Machine Learning Techniques

MM Khalifa, ON Ucan… - … International Conference of …, 2021 - ieeexplore.ieee.org
The Intrusion Detection System (IDS) is one of the technologies available to protect mobile
ad hoc networks. The system monitors the network and detects intrusion from malicious …

A step forward to revolutionize intrusion detection system using deep convolutional neural network

R Chowdhury, A Roy, B Saha… - Data Driven Approach …, 2021 - Springer
Cyber-threats have become a devastating issue in the era of technically advanced world
where data and information are strenuously used for predictive analytics. To prevail over this …

Deep Learning Approaches for Intrusion Detection System

D Dave, M Kava, RK Gupta… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Nowadays, a large amount of confidential data transmitted through various devices like
mobile phones and computers, and with each new innovation in computer network …

Data mining classification techniques for intrusion detection system

L Mohan, S Jain, P Suyal… - 2020 12th International …, 2020 - ieeexplore.ieee.org
In today's contemporary era detection of network attacks has become the need of the hour
due to increasing network traffic over the network. Data mining technique plays a vital role in …