Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Towards effective feature selection in machine learning-based botnet detection approaches
Usilng Machine Learning Technliques to Identify Botnet Traffic
Botnet detection based on network behavior
Botnet detection via mining of traffic flow characteristics
Behaviour based botnet detection with traffic analysis and flow interavals using PSO and SVM
BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic
Mobile Botnet Attacks - an Emerging Threat: Classification, Review and Open Issues
Building lightweight intrusion detection system using wrapper-based feature selection mechanisms
Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm
Performance of Botnet Detection by Neural Networks in Software-Defined Networks
feature selection and improving classification performance for malware detection .
PsyBoG: A scalable botnet detection method for large-scale DNS traffic
A new approach to bot detection: Striking the balance between precision and recall
Peer to Peer Botnet Detection Using Data Mining Scheme
A REVIEW OF PEER-TO-PEER BOTNET DETECTION TECHNIQUES
Botnet Detection Through Fine Flow Classification
BotViz: A memory forensic-based botnet detection and visualization approach
Survey of Approaches and Features for the Identification of HTTP-Based Botnet Traffic
Detection of Human, Legitimate Bot, and Malicious Bot in Online Social Networks Based on Wavelets
On the Analysis and Detection of Mobile Botnet Applications.
BotDet: A System for Real Time Botnet Command and Control Traffic Detection
Data-driven HRF estimation for encoding and decoding models
Snort - Lightweight Intrusion Detection for Networks
CLUSTERING TECHNIQUES AND DISCRETE PARTICLE SWARM OPTIMIZATION ALGORITHM FOR MULTI-DOCUMENT SUMMARIZATION
Caching-aware recommendations: Nudging user preferences towards better caching performance
sudden deaths from positional asphyxia .