RiskInDroid | quantitative risk analysis of Android applications
kandi X-RAY | RiskInDroid Summary
kandi X-RAY | RiskInDroid Summary
RiskInDroid is a Python library. RiskInDroid has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
A tool for quantitative risk analysis of Android applications based on machine learning techniques.
A tool for quantitative risk analysis of Android applications based on machine learning techniques.
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Quality
Security
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RiskInDroid has a low active ecosystem.
It has 77 star(s) with 24 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 10 have been closed. On average issues are closed in 41 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of RiskInDroid is v1.4.0
Quality
RiskInDroid has 0 bugs and 0 code smells.
Security
RiskInDroid has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
RiskInDroid code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
RiskInDroid is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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RiskInDroid releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
RiskInDroid saves you 762 person hours of effort in developing the same functionality from scratch.
It has 1755 lines of code, 32 functions and 12 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed RiskInDroid and discovered the below as its top functions. This is intended to give you an instant insight into RiskInDroid implemented functionality, and help decide if they suit your requirements.
- Performs the performance analysis
- Return a training set of training datasets
- Get feature vectors for training
- Construct a feature vector from an APK
- Calculate accuracy of the set
- Get training apks
- Get training vectors
- Rescale the risk
- Upload an APK
- Calculate the risk score
- Get permission json from a permission checker
- Construct a feature vector from the JSON result
- Train all the classifiers
- Compute md5sum of a file
- Check if a file name is valid
- Create the Flask application
Get all kandi verified functions for this library.
RiskInDroid Key Features
No Key Features are available at this moment for RiskInDroid.
RiskInDroid Examples and Code Snippets
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$ # Make sure to run the commands in RiskInDroid/ directory.
$ # Extract permission_db.db from app/database/permission_db.7z archive and put
$ # it into app/database/ directory.
$ # The usage of a virtual environment is highly recommended, e.g., v
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$ docker --version
Docker version 19.03.0, build aeac949
$ # Download the Docker image.
$ docker pull claudiugeorgiu/riskindroid
$ # Give it a shorter name.
$ docker tag claudiugeorgiu/riskindroid riskindroid
$ # Make sure to run the c
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@Inbook{RiskInDroid,
author="Merlo, Alessio and Georgiu, Gabriel Claudiu",
editor="De Capitani di Vimercati, Sabrina and Martinelli, Fabio",
title="RiskInDroid: Machine Learning-Based Risk Analysis on Android",
bookTitle="ICT Systems Security
Community Discussions
No Community Discussions are available at this moment for RiskInDroid.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install RiskInDroid
There are two ways of getting a working copy of RiskInDroid on your own computer: either by using Docker or by using directly the source code in a Python 3 environment. In both cases, the first thing to do is to get a local copy of this repository, so open up a terminal in the directory where you want to save the project and clone the repository:.
Support
Questions, bug reports and pull requests are welcome on GitHub at https://github.com/ClaudiuGeorgiu/RiskInDroid.
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