An effective genetic algorithm-based feature selection method for intrusion detection systems
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An effective genetic algorithm-based feature selection method for intrusion detection systems
Authors
Keywords
Feature selection, Genetic algorithm, Intrusion detection, Machine learning, Data analysis
Journal
COMPUTERS & SECURITY
Volume 110, Issue -, Pages 102448
Publisher
Elsevier BV
Online
2021-08-26
DOI
10.1016/j.cose.2021.102448
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Prediction of surface roughness based on a hybrid feature selection method and long short-term memory network in grinding
- (2021) Weicheng Guo et al. The International Journal of Advanced Manufacturing Technology
- Reinforcement Learning Assisted Impersonation Attack Detection in Device-to-Device Communications
- (2021) Shanshan Tu et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A novel multi-objective forest optimization algorithm for wrapper feature selection
- (2021) Babak Nouri-Moghaddam et al. EXPERT SYSTEMS WITH APPLICATIONS
- A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer
- (2020) Hadeel Alazzam et al. EXPERT SYSTEMS WITH APPLICATIONS
- Improved Bacterial Foraging Algorithm for Cell Formation and Product Scheduling Considering Learning and Forgetting Factors in Cellular Manufacturing Systems
- (2020) Jufeng Wang et al. IEEE Systems Journal
- A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection
- (2020) Negar Maleki et al. EXPERT SYSTEMS WITH APPLICATIONS
- A two-layer feature selection method using Genetic Algorithm and Elastic Net
- (2020) Fatemeh Amini et al. EXPERT SYSTEMS WITH APPLICATIONS
- 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
- Cybersecurity threat intelligence knowledge exchange based on blockchain
- (2019) R. Riesco et al. TELECOMMUNICATION SYSTEMS
- Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification
- (2019) Yu Xue et al. ACM Transactions on Knowledge Discovery from Data
- On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning
- (2019) Zahid Halim et al. Information Fusion
- On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets
- (2019) Zahid Halim et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Ensemble feature selection using bi-objective genetic algorithm
- (2017) Asit K Das et al. KNOWLEDGE-BASED SYSTEMS
- Security and Privacy in Cyber-Physical Systems: A Survey of Surveys
- (2017) Jairo Giraldo et al. IEEE Design & Test
- A Survey on Evolutionary Computation Approaches to Feature Selection
- (2016) Bing Xue et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Intrusion detection using feature subset selection based on MLP
- (2016) Ahmad Iftikhar et al. Scientific Research and Essays
- A hybrid method consisting of GA and SVM for intrusion detection system
- (2015) B. M. Aslahi-Shahri et al. NEURAL COMPUTING & APPLICATIONS
- A novel hybrid KPCA and SVM with GA model for intrusion detection
- (2014) Fangjun Kuang et al. APPLIED SOFT COMPUTING
- From information security to cyber security
- (2013) Rossouw von Solms et al. COMPUTERS & SECURITY
- Mass Classification in Mammograms Using Selected Geometry and Texture Features, and a New SVM-Based Feature Selection Method
- (2013) Xiaoming Liu et al. IEEE Systems Journal
- Decision tree based light weight intrusion detection using a wrapper approach
- (2011) Siva S. Sivatha Sindhu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset
- (2010) V. Bolón-Canedo et al. EXPERT SYSTEMS WITH APPLICATIONS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started