SoftwareApplication
name: Code for Appscanner: Automatic fingerprinting of smartphone apps from encrypted network traffic
description: Code for Appscanner: Automatic fingerprinting of smartphone apps from encrypted network traffic
description: This repository contains the code for for AppScanner that was implemented as part of the NDSS FlowPrint paper [PDF], it implements the Single Large Random Forest Classifier of AppScanner [PDF]. We ask people to cite both works when using the software for academic research papers.
code repository: https://data.4tu.nl/v3/datasets/6c117625-0bbf-4988-b13e-26bb4daa203c.git
author: https://orcid.org/0000-0003-3865-6390
keywords: Mobile Traffic
keywords: Security
programming language: Markdown
programming language: Other
programming language: Python
license:
  creative work: creativeWork
    name: MIT
reference publication: ndss.2020.24412

https://orcid.org/0000-0003-3865-6390
type: Person
given name: Thijs
family name: van Ede
name: Thijs van Ede

ndss.2020.24412
type: ScholarlyArticle
name: FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic
url: https://doi.org/10.14722%2Fndss.2020.24412