Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Encrypted Traffic Identification Based on N-gram Entropy and Cumulative Sum Test
A Survey of Methods for Encrypted Traffic Classification andAnalysis
Robust Smartphone App Identification via Encrypted Network Traffic Analysis
Machine learning based encrypted traffic classification: Identifying SSH and Skype
On Inferring Application Protocol Behaviors in Encrypted Network Traffic
SigBox: Automatic Signature Generation Method for Fine-grained Traffic Identification.
Can encrypted traffic be identified without port numbers, IP addresses and payload inspection?
End-to-end encrypted traffic classification with one-dimensional convolution neural networks
Vulnerabilities of Encrypted IoT Traffic
BlindBox: Deep Packet Inspection over Encrypted Traffic
BlindIDS: Market-Compliant and Privacy-Friendly Intrusion Detection System over Encrypted Traffic
Fingerprinting BitTorrent Traffic in Encrypted Tunnels Using Recurrent Deep Learning
Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams
Enabling secure and effective near-duplicate detection over encrypted in-network storage
encrypted traffic classification using statistical features .
Anomaly network traffic detection algorithm based on information entropy measurement under the cloud computing environment
Entropy-based anomaly detection for in-vehicle networks
Fast, FPGA-based Rainbow Table creation for attacking encrypted mobile communications
Network Traffic Fingerprinting Based on Approximated Kernel Two-Sample Test
Meek-Based Tor Traffic Identification with Hidden Markov Model
CANTrack: Enhancing automotive CAN bus security using intuitive encryption algorithms
Competition-based networks for expert finding
Human performance limitations (communication, stress, prospective memory and fatigue).
An unsupervised object-level image segmentation method based on foreground and background priors
new clinical practice guideline on enteral feeding in very low birth weight infants ; first part .
A survey of techniques for internet traffic classification using machine learning