A review of recent approaches on wrapper feature selection for intrusion detection

J Maldonado, MC Riff, B Neveu - Expert Systems with Applications, 2022 - Elsevier
In this paper, we present a review of recent advances in wrapper feature selection
techniques for attack detection and classification, applied in intrusion detection area. Due to …

A GA-LR wrapper approach for feature selection in network intrusion detection

C Khammassi, S Krichen - computers & security, 2017 - Elsevier
Intrusions constitute one of the main issues in computer network security. Through malicious
actions, hackers can have unauthorised access that compromises the integrity, the …

A NSGA2-LR wrapper approach for feature selection in network intrusion detection

C Khammassi, S Krichen - Computer Networks, 2020 - Elsevier
Feature selection is becoming a major preprocessing phase in which irrelevant and
redundant features are removed, while the more informative ones are retained. The datasets …

Building lightweight intrusion detection system using wrapper-based feature selection mechanisms

Y Li, JL Wang, ZH Tian, TB Lu, C Young - Computers & security, 2009 - Elsevier
Intrusion Detection System (IDS) is an important and necessary component in ensuring
network security and protecting network resources and network infrastructures. How to build …

Feature selection algorithms in intrusion detection system: A survey

S Maza, M Touahria - KSII Transactions on Internet and Information …, 2018 - koreascience.kr
Regarding to the huge number of connections and the large flow of data on the Internet,
Intrusion Detection System (IDS) has a difficulty to detect attacks. Moreover, irrelevant and …

A wrapper‐based feature selection for improving performance of intrusion detection systems

M Samadi Bonab, A Ghaffari… - International Journal …, 2020 - Wiley Online Library
Along with expansion in using of Internet and computer networks, the privacy, integrity, and
access to digital resources have been faced with permanent risks. Due to the unpredictable …

Survey and taxonomy of feature selection algorithms in intrusion detection system

Y Chen, Y Li, XQ Cheng, L Guo - … , China, November 29-December 1, 2006 …, 2006 - Springer
The Intrusion detection system deals with huge amount of data which contains irrelevant and
redundant features causing slow training and testing process, higher resource consumption …

A novel combinatorial optimization based feature selection method for network intrusion detection

A Nazir, RA Khan - Computers & Security, 2021 - Elsevier
The advancements in communication technologies and ubiquitous accessibility to a wide
array of services has opened many challenges. Growing numbers of cyberattacks show that …

A hybrid intrusion detection system based on feature selection and weighted stacking classifier

R Zhao, Y Mu, L Zou, X Wen - IEEE Access, 2022 - ieeexplore.ieee.org
Cyber-attacks occur more frequently with the rapid growth in the Internet. Intrusion detection
systems (IDS) have become an important part of protecting system security. There are still …

Enhancing network intrusion detection using effective stacking of ensemble classifiers with multi-pronged feature selection technique

S Rahman, SNF Mursal, MA Latif… - … on Emerging Trends …, 2023 - ieeexplore.ieee.org
Information security depends on Network Intrusion Detection (NID), which properly identifies
network threats. This work explores simulating a NID system by stacking ensemble …