Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A method to detect Internet of Things botnets
BotMiner: Clustering Analysis of Network Traffic for Protocol- and Structure-Independent Botnet Detection
Socellbot: A new botnet design to infect smartphones via online social networking
Android botnets on the rise: Trends and characteristics
Automatically Generating Models for Botnet Detection
Botnet protocol inference in the presence of encrypted traffic
Behaviour based botnet detection with traffic analysis and flow interavals using PSO and SVM
A Network Behavior-Based Botnet Detection Mechanism Using PSO and K-means
Mobile Botnet Attacks - an Emerging Threat: Classification, Review and Open Issues
A multifaceted approach to understanding the botnet phenomenon
Characterizing Botnets from Email Spam Records
Automatic search of the malicious messages in the internet of things systems on the example of an intelligent detection of the unnatural agents requests
The Role of Internet Service Providers in Botnet Mitigation: An Empirical Analysis Based on Spam Data
Performance of Botnet Detection by Neural Networks in Software-Defined Networks
Spamming botnets: signatures and characteristics
Flow based botnet detection through semi-supervised active learning
Peer to Peer Botnet Detection Using Data Mining Scheme
Detection of Human, Legitimate Bot, and Malicious Bot in Online Social Networks Based on Wavelets
Improving Intrusion Detection on Snort Rules for Botnets Detection
Towards effective feature selection in machine learning-based botnet detection approaches
On the analysis of the Zeus botnet crimeware toolkit
An Internet based wireless home automation system for multifunctional devices
Learning a Fully Convolutional Network for Object Recognition using very few Data
Low-Profile, Electrically Small, Huygens Source Antenna With Pattern-Reconfigurability That Covers the Entire Azimuthal Plane
Efficient Linear Programming for Dense CRFs
Class Rectification Hard Mining for Imbalanced Deep Learning