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

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

(2021) Anjum Nazir et al.   COMPUTERS & SECURITY

Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks

(2020) Periasamy Nancy et al.   IET Communications

A deep learning method with wrapper based feature extraction for wireless intrusion detection system

(2020) Sydney Mambwe Kasongo et al.   COMPUTERS & SECURITY

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

(2020) Maryam Samadi Bonab et al.   INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

A new machine learning method consisting of GA-LR and ANN for attack detection

(2020) Soodeh Hosseini   WIRELESS NETWORKS

Building an efficient intrusion detection system based on feature selection and ensemble classifier

(2020) Yuyang Zhou et al.   Computer Networks

IoT malicious traffic identification using wrapper-based feature selection mechanisms

(2020) Muhammad Shafiq et al.   COMPUTERS & SECURITY

A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer

(2020) Hadeel Alazzam et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Feature Selection Model for Network Intrusion Detection System Based on PSO, GWO, FFA and GA Algorithms

(2020) Omar Almomani   Symmetry-Basel

A multi-objective immune algorithm for intrusion feature selection

(2020) Wenhong Wei et al.   APPLIED SOFT COMPUTING

Internet of Things: A survey on machine learning-based intrusion detection approaches

(2019) Kelton A.P. da Costa et al.   Computer Networks

A review of unsupervised feature selection methods

(2019) Saúl Solorio-Fernández et al.   ARTIFICIAL INTELLIGENCE REVIEW

Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-IoT dataset

(2019) Nickolaos Koroniotis et al.   Future Generation Computer Systems-The International Journal of eScience

Probabilistic Feature Selection and Classification Vector Machine

(2019) Bingbing Jiang et al.   ACM Transactions on Knowledge Discovery from Data

A survey of network-based intrusion detection data sets

(2019) Markus Ring et al.   COMPUTERS & SECURITY

A Survey of Intrusion Detection Systems Leveraging Host Data

(2019) Robert A. Bridges et al.   ACM COMPUTING SURVEYS

A dynamic MLP-based DDoS attack detection method using feature selection and feedback

(2019) Meng Wang et al.   COMPUTERS & SECURITY

A Survey of Random Forest Based Methods for Intrusion Detection Systems

(2018) Paulo Angelo Alves Resende et al.   ACM COMPUTING SURVEYS

A hybrid intrusion detection system based on ABC-AFS algorithm for misuse and anomaly detection

(2018) Vajiheh Hajisalem et al.   Computer Networks

Intrusion detection system for wireless mesh network using multiple support vector machine classifiers with genetic-algorithm-based feature selection

(2018) R. Vijayanand et al.   COMPUTERS & SECURITY

A systematic survey on multi-step attack detection

(2018) Julio Navarro et al.   COMPUTERS & SECURITY

Network intrusion detection system based on recursive feature addition and bigram technique

(2018) Tarfa Hamed et al.   COMPUTERS & SECURITY

A survey on technical threat intelligence in the age of sophisticated cyber attacks

(2018) Wiem Tounsi et al.   COMPUTERS & SECURITY

Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges

(2018) Rodrigo Roman et al.   Future Generation Computer Systems-The International Journal of eScience

A Detailed Investigation and Analysis of using Machine Learning Techniques for Intrusion Detection

(2018) Preeti Mishra et al.   IEEE Communications Surveys and Tutorials

From Intrusion Detection to Attacker Attribution: A Comprehensive Survey of Unsupervised Methods

(2018) Antonia Nisioti et al.   IEEE Communications Surveys and Tutorials

A Survey of IoT-enabled Cyberattacks: Assessing Attack Paths to Critical Infrastructures and Services

(2018) Ioannis Stellios et al.   IEEE Communications Surveys and Tutorials

An intrusion detection system based on combining probability predictions of a tree of classifiers

(2018) Ahmed Ahmim et al.   INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

Feature selection in machine learning: A new perspective

(2018) Jie Cai et al.   NEUROCOMPUTING

Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model

(2018) Shadi Aljawarneh et al.   Journal of Computational Science

Supervised feature selection by self-paced learning regression

(2018) Jiangzhang Gan et al.   PATTERN RECOGNITION LETTERS

Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection

(2018) Fadi Salo et al.   Computer Networks

An Evolutionary Computation Based Feature Selection Method for Intrusion Detection

(2018) Yu Xue et al.   Security and Communication Networks

Firefly algorithm based feature selection for network intrusion detection

(2018) Selvakumar B et al.   COMPUTERS & SECURITY

Fuzziness based semi-supervised learning approach for intrusion detection system

(2017) Rana Aamir Raza Ashfaq et al.   INFORMATION SCIENCES

An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine

(2017) M.R. Gauthama Raman et al.   KNOWLEDGE-BASED SYSTEMS

A LogitBoost-Based Algorithm for Detecting Known and Unknown Web Attacks

(2017) Muhammad Hilmi Kamarudin et al.   IEEE Access

Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset

(2016) Constantinos Kolias et al.   IEEE Communications Surveys and Tutorials

A Survey on Evolutionary Computation Approaches to Feature Selection

(2016) Bing Xue et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization

(2016) Seyed Mojtaba Hosseini Bamakan et al.   NEUROCOMPUTING

Evaluating Computer Intrusion Detection Systems

(2015) Aleksandar Milenkoski et al.   ACM COMPUTING SURVEYS

On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems

(2015) Salma Elhag et al.   EXPERT SYSTEMS WITH APPLICATIONS

A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion

(2015) Zhen Liu et al.   NEUROCOMPUTING

Toward developing a systematic approach to generate benchmark datasets for intrusion detection

(2012) Ali Shiravi et al.   COMPUTERS & SECURITY

1,1-Dicyano-4-[4-(diethylamino)phenyl]buta-1,3-dienes: Structure-Property Relationships

(2012) Francesca Tancini et al.   EUROPEAN JOURNAL OF ORGANIC CHEMISTRY

GT

(2009) F. Gringoli et al.   ACM SIGCOMM Computer Communication Review