Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Botnet Detection Through Fine Flow Classification
Usilng Machine Learning Technliques to Identify Botnet Traffic
Malware detection with quantitative data flow graphs
Bayesian bot detection based on DNS traffic similarity
BotFinder: finding bots in network traffic without deep packet inspection
Unknown malware detection using network traffic classification
Botnet-based Distributed Denial of Service (DDoS) Attacks on Web Servers: Classification and Art
A new approach to bot detection: Striking the balance between precision and recall
Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison
Periodicity classification of HTTP traffic to detect HTTP Botnets
Towards Developing Network forensic mechanism for Botnet Activities in the IoT based on Machine Learning Techniques
Botnet protocol inference in the presence of encrypted traffic
Winning with DNS Failures: Strategies for Faster Botnet Detection
Panorama: capturing system-wide information flow for malware detection and analysis
Improving Intrusion Detection on Snort Rules for Botnets Detection
Exploring the Use of Autoencoders for Botnets Traffic Representation
Survey of Peer-to-Peer Botnets and Detection Frameworks
On the Analysis and Detection of Mobile Botnet Applications.
A Wide Scale Survey on Botnet
Deep IP flow inspection to detect beyond network anomalies
Applying One-Class Classification Techniques to IP Flow Records for Intrusion Detection
A Printed Xi-Shaped Left-Handed Metamaterial on Low-Cost Flexible Photo Paper
ERD'14: Entity Recognition and Disambiguation Challenge
Modeling Botnet Propagation Using Time Zones
Techniques of EMG signal analysis: detection, processing, classification and applications
Interpersonal violence in three Caribbean countries: Barbados, Jamaica, and Trinidad and Tobago