RiskInDroid | quantitative risk analysis of Android applications

 by   ClaudiuGeorgiu Python Version: v1.4.0 License: MIT

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.
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            kandi-support Support

              RiskInDroid has a low active ecosystem.
              It has 77 star(s) with 24 fork(s). There are 2 watchers for this library.
              OutlinedDot
              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

            kandi-Quality Quality

              RiskInDroid has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License 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.

            kandi-Reuse Reuse

              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

            RiskInDroid,❱ Installation & Usage,From source
            Pythondot img1Lines of Code : 16dot img1License : Permissive (MIT)
            copy iconCopy
            $ # 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  
            RiskInDroid,❱ Installation & Usage,Docker image
            Pythondot img2Lines of Code : 12dot img2License : Permissive (MIT)
            copy iconCopy
            $ 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  
            RiskInDroid,❱ Publication
            Pythondot img3Lines of Code : 12dot img3License : Permissive (MIT)
            copy iconCopy
            @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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