Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: An improved NSGA-III algorithm for feature selection used in intrusion detection
A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems
Using Genetic Algorithm for Network Intrusion Detection
Feature Selection and Design of Intrusion Detection System Based on k-Means and Triangle Area Support Vector Machine
Performance Evaluation of a Genetic Algorithm Based Approach to Network Intrusion Detection System
An Implementation of Intrusion Detection System Using Genetic Algorithm
An Improved Intrusion Detection Algorithm Based on GA and SVM
A Feature Selection Method Based on Information Gain and Genetic Algorithm
Feature selection and intrusion classification in NSL-KDD cup 99 dataset employing SVMs
A Data Mining Framework for Constructing Features and Models for Intrusion Detection Systems
An Efficient Algorithm for Network Intrusion Detection System
Improved Intrusion Detection in DDoS Applying Feature Selection Using Rank &amp; Score of Attributes in KDD-99 Data Set
Current Studies On Intrusion Detection System, Genetic Algorithm And Fuzzy Logic
Feature Selection and Intrusion Detection using Hybrid Flexible Neural Tree
analysis of kdd ’ 99 intrusion detection dataset for selection of relevance features .
Improved Algorithm for Intrusion Detection Using Genetic Algorithm and SNORT
A hybrid method consisting of GA and SVM for intrusion detection system
An investigation of classification algorithms for intrusion detection system — A quantitative approach
Decision Tree Based Algorithm for Intrusion Detection
Exploiting efficient data mining techniques to enhance intrusion detection systems
Algorithms for feature selection: An evaluation
Narcissism, Spiritual Pride, and Original Sin
Robust Rough-Terrain Locomotion with a Quadrupedal Robot
Algorithmic Bias in Autonomous Systems
K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means Clustering and ID3 Decision Tree Learning Methods
Neural Graph Learning: Training Neural Networks Using Graphs