Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Can encrypted traffic be identified without port numbers, IP addresses and payload inspection?
On Inferring Application Protocol Behaviors in Encrypted Network Traffic
GINTATE: Scalable and Extensible Deep Packet Inspection System for Encrypted Network Traffic: Session Resumption in Transport Layer Security Communication Considered Harmful to DPI
Network Intrusion Detection: Evasion, Traffic Normalization, and End-to-End Protocol Semantics
Botnet protocol inference in the presence of encrypted traffic
Machine learning based encrypted traffic classification: Identifying SSH and Skype
Deep Packet Inspection using Snort
A flow based approach for SSH traffic detection
Forensic carving of network packets and associated data structures
HTTPS traffic analysis and client identification using passive SSL/TLS fingerprinting
Stealthy traffic analysis of low-latency anonymous communication using throughput fingerprinting
Fingerprinting BitTorrent Traffic in Encrypted Tunnels Using Recurrent Deep Learning
Network attack detection at flow level
An Overview of IP Flow-Based Intrusion Detection
SGX-Box: Enabling Visibility on Encrypted Traffic using a Secure Middlebox Module
Robust Smartphone App Identification via Encrypted Network Traffic Analysis
Privacy-preserving deep packet inspection in outsourced middleboxes
Tunneling for Transparency: A Large-Scale Analysis of End-to-End Violations in the Internet
Analog man-in-the-middle attack against link-based packet source identification
a method for service identification of ssl / tls encrypted traffic with the relation of session id and server ip .
Anomalous Payload-Based Network Intrusion Detection
The Roles of Alpha-Momorcharin and Jasmonic Acid in Modulating the Response of Momordica charantia to Cucumber Mosaic Virus
Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks
Detecting Algorithmically Generated Domain-Flux Attacks With DNS Traffic Analysis
Information-theoretic measures for anomaly detection
Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models