Evaluation of Machine Learning Algorithms using Feature Selection Methods for Network Intrusion Detection Systems

MN Reza, SF Kabir, N Jahan… - 2021 5th International …, 2021 - ieeexplore.ieee.org
In this modern internet era dominated by technology and automation, network security is a
concern for the whole world. Despite many security methods such as virus scanners …

Performance comparison of intrusion detection system using three different machine learning algorithms

ZK Ibrahim, MY Thanon - 2021 6th international conference on …, 2021 - ieeexplore.ieee.org
Intrusion Detection Systems (IDS) are essential for Network Security in order to control the
network and also to analyze the incoming network traffic. With the existence of a huge …

A new feature selection approach and classification technique for current intrusion detection system

M Ozkan-Okay, R Samet, Ö Aslan - 2021 6th International …, 2021 - ieeexplore.ieee.org
These days, various devices including computers, smartphones, internet of things (IoT), and
cloud services are using computer networks for data communications. As the computer …

A Study of Intrusion Detection System using Machine Learning Classification Algorithm based on different feature selection approach

P Illavarason, BK Sundaram - … conference on I-SMAC (IoT in …, 2019 - ieeexplore.ieee.org
Network security is the most challenging task of the modern digital era. Due to the
development in internet, the number of network attacks has also increased, this is prevented …

Machine and deep learning based comparative analysis using hybrid approaches for intrusion detection system

A Rashid, MJ Siddique… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Intrusion detection is one of the most prominent and challenging problem faced by
cybersecurity organizations. Intrusion Detection System (IDS) plays a vital role in identifying …

Performance enhancement of intrusion detection system using machine learning algorithms with feature selection

AS Raju, MM Rashid, F Sabrina - 2021 31st International …, 2021 - ieeexplore.ieee.org
Cybersecurity has emerged as a major concern for individuals and organisations due to
digitalisation. As a result, data is growing exponentially making it susceptible to various …

Machine learning based intrusion detection framework using recursive feature elimination method

JDS WS, B Parvathavarthini - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Intrusion detection has a prominent part for ensuring the information security. Machine
learning approaches are followed to detect intrusion or anomaly of a network. The network …

An estimation of machine learning approaches for intrusion detection system

P Tahiri, S Sonia, P Jain, G Gupta… - 2021 International …, 2021 - ieeexplore.ieee.org
IDS is a machine approach that can prevent or analyze network attacks. An attacker would
concession the confidentiality, availability, and integrity of network resources. Due to these …

A performance comparison of machine learning approaches on intrusion detection dataset

VS Manvith, RV Saraswathi… - 2021 Third International …, 2021 - ieeexplore.ieee.org
The network is a prominent aspect of communication. The network facilitates devices to
exchange information between individuals and led to massive growth in the networking field …

NIDF: an ensemble-inspired feature learning framework for network intrusion detection

S Nandi, S Maity, M Das - 2020 IEEE International Women in …, 2020 - ieeexplore.ieee.org
In today's world growth of network-based applications increasing rapidly, to protect sensitive
information from various threads and attackers an effective intrusion detection system needs …