libdpa | library assisting side-channel-analysis attacks
kandi X-RAY | libdpa Summary
kandi X-RAY | libdpa Summary
libdpa is a Python library. libdpa has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
libdpa is a python library for analysis tasks in differential power analysis scenarios. It assists in the initial analysis by providing simple access to typical preprocessing tasks. It supports efficient calculation of trace correlations for profiling or the actual execution of an attack. Processing steps can be combined, chainend and executed in parallel by a DPAWorkflow. The library is the result of the master thesis: [Design of a Framework for Side-Channel-Attacks on RFID-Tags] which contains additional information regarding background and rationale.
libdpa is a python library for analysis tasks in differential power analysis scenarios. It assists in the initial analysis by providing simple access to typical preprocessing tasks. It supports efficient calculation of trace correlations for profiling or the actual execution of an attack. Processing steps can be combined, chainend and executed in parallel by a DPAWorkflow. The library is the result of the master thesis: [Design of a Framework for Side-Channel-Attacks on RFID-Tags] which contains additional information regarding background and rationale.
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Quality
Security
License
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Support
libdpa has a low active ecosystem.
It has 20 star(s) with 8 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
libdpa has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of libdpa is current.
Quality
libdpa has 0 bugs and 0 code smells.
Security
libdpa has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
libdpa code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
libdpa does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
libdpa releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
libdpa saves you 334 person hours of effort in developing the same functionality from scratch.
It has 800 lines of code, 118 functions and 9 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed libdpa and discovered the below as its top functions. This is intended to give you an instant insight into libdpa implemented functionality, and help decide if they suit your requirements.
- Return the correlation matrix
- Get the number of samples
- Profile a trace
- Process the trace
Get all kandi verified functions for this library.
libdpa Key Features
No Key Features are available at this moment for libdpa.
libdpa Examples and Code Snippets
No Code Snippets are available at this moment for libdpa.
Community Discussions
No Community Discussions are available at this moment for libdpa.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install libdpa
You can download it from GitHub.
You can use libdpa like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use libdpa like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Please go to http://rumpeltux.github.io/libdpa/.
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